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imthekaiser

imthekaiser

Verified

@imthekaiser · Member since 2026

← Leaderboard
Verified 2d ago Mainly vllm 200 approved runs

Submissions

309

200 approved public runs

Models

32

unique models

Avg output

1,129tok/s

Best 6,370 tok/s

Avg prefill

1,035tok/s

Best 6,946 tok/s

Avg total

2,450tok/s

Best 13,318 tok/s

Avg TTFT

10,156ms

Best 42.7 ms

Hardware

4

distinct setups

Personal bests

Personal bests32

Fastest approved result for each model.

1B5 runs
Output6,370 tok/s
Prefill210 tok/s
TTFT1,355 ms
Depth0k
Intel Arc Pro B65 32GB ×4

vllm · BF16 · today

4B8 runs
Output5,464 tok/s
Prefill201 tok/s
TTFT1,467 ms
Depth0k
Intel Arc Pro B65 32GB ×3

vllm · BF16 · today

3B MoE4 runs
Output4,081 tok/s
Prefill156 tok/s
TTFT1,955 ms
Depth0k
Intel Arc Pro B65 32GB ×3

vllm · GPTQ-4bit · today

9B16 runs
Output3,811 tok/s
Prefill91.8 tok/s
TTFT3,296 ms
Depth0k
Intel Arc Pro B65 32GB ×4

vllm · FP8 · today

9B16 runs
Output3,809 tok/s
Prefill93.1 tok/s
TTFT3,247 ms
Depth0k
Intel Arc Pro B65 32GB ×4

vllm · FP8 · today

3B MoE6 runs
Output3,777 tok/s
Prefill117 tok/s
TTFT2,583 ms
Depth0k
Intel Arc Pro B65 32GB ×4

vllm · FP8 · today

3B MoE13 runs
Output3,729 tok/s
Prefill111 tok/s
TTFT2,732 ms
Depth0k
Intel Arc Pro B65 32GB ×4

vllm · INT4 · today

20B MoE2 runs
Output3,630 tok/s
Prefill54.1 tok/s
TTFT6,149 ms
Depth0k
Intel Arc Pro B65 32GB ×2

vllm · MXFP4 · 1d ago

3B MoE1 run
Output3,093 tok/s
Prefill80.0 tok/s
TTFT3,810 ms
Depth0k
Intel Arc Pro B65 32GB ×4

vllm · FP8 · 1d ago

8B MoE7 runs
Output3,058 tok/s
Prefill199 tok/s
TTFT1,604 ms
Depth0k
Intel Arc Pro B65 32GB ×3

vllm · BF16 · today

3B MoE4 runs
Output2,677 tok/s
Prefill71.9 tok/s
TTFT4,113 ms
Depth0k
Intel Arc Pro B65 32GB ×2

vllm · FP8 · today

3B MoE3 runs
Output2,557 tok/s
Prefill151 tok/s
TTFT2,022 ms
Depth0k
Intel Arc Pro B65 32GB ×3

vllm · INT4_W4A16 · today

3B MoE4 runs
Output2,332 tok/s
Prefill105 tok/s
TTFT2,923 ms
Depth0k
Intel Arc Pro B65 32GB ×3

vllm · INT4_W4A16 · 1d ago

4B MoE12 runs
Output1,819 tok/s
Prefill81.5 tok/s
TTFT3,713 ms
Depth0k
Intel Arc Pro B65 32GB ×4

vllm · FP8 · today

10B MoE2 runs
Output1,778 tok/s
Prefill50.5 tok/s
TTFT6,008 ms
Depth0k
Intel Arc Pro B65 32GB ×4

vllm · GPTQ-4bit · today

4B MoE2 runs
Output1,538 tok/s
Prefill90.9 tok/s
TTFT3,339 ms
Depth0k
Intel Arc Pro B65 32GB ×3

vllm · INT4_W4A16 · today

30B7 runs
Output1,455 tok/s
Prefill27.1 tok/s
TTFT12,043 ms
Depth0k
Intel Arc Pro B65 32GB ×4

vllm · BF16 · today

27B15 runs
Output1,407 tok/s
Prefill30.4 tok/s
TTFT9,963 ms
Depth0k
Intel Arc Pro B65 32GB ×4

vllm · FP8 · today

27B9 runs
Output1,295 tok/s
Prefill27.4 tok/s
TTFT12,639 ms
Depth0k
Intel Arc Pro B65 32GB ×4

vllm · INT4_W4A16 · today

12B16 runs
Output1,284 tok/s
Prefill52.9 tok/s
TTFT5,710 ms
Depth0k
Intel Arc Pro B65 32GB ×4

vllm · FP8 · today

27B3 runs
Output963 tok/s
Prefill28.6 tok/s
TTFT12,139 ms
Depth0k
Intel Arc Pro B65 32GB ×3

vllm · INT4_W4A16 · 1d ago

3B MoE3 runs
Output962 tok/s
Prefill33.0 tok/s
TTFT9,276 ms
Depth0k
Intel Arc Pro B65 32GB ×4

vllm · FP8 · 1d ago

27B5 runs
Output939 tok/s
Prefill24.6 tok/s
TTFT14,091 ms
Depth0k
Intel Arc Pro B65 32GB ×4

vllm · INT4_W4A16 · 1d ago

27B4 runs
Output861 tok/s
Prefill16.0 tok/s
TTFT18,920 ms
Depth0k
Intel Arc Pro B65 32GB ×4

vllm · FP8 · today

4B MoE4 runs
Output810 tok/s
Prefill26.3 tok/s
TTFT11,537 ms
Depth0k
Intel Arc Pro B65 32GB ×4

vllm · FP8 · 1d ago

3B MoE2 runs
Output785 tok/s
Prefill22.8 tok/s
TTFT13,272 ms
Depth0k
Intel Arc Pro B65 32GB ×2

vllm · FP8 · 1d ago

27B3 runs
Output765 tok/s
Prefill37.6 tok/s
TTFT9,208 ms
Depth0k
Intel Arc Pro B65 32GB ×3

vllm · INT4_W4A16 · 1d ago

27B3 runs
Output732 tok/s
Prefill17.3 tok/s
TTFT20,064 ms
Depth0k
Intel Arc Pro B65 32GB ×2

vllm · INT4 · 1d ago

31B14 runs
Output526 tok/s
Prefill22.7 tok/s
TTFT13,363 ms
Depth0k
Intel Arc Pro B65 32GB ×4

vllm · INT4 · today

180B MoE3 runs
Output477 tok/s
Prefill29.6 tok/s
TTFT11,697 ms
Depth0k
Intel Arc Pro B65 32GB ×4

vllm · INT4_W4A16 · 1d ago

27B2 runs
Output454 tok/s
Prefill17.1 tok/s
TTFT20,233 ms
Depth0k
Intel Arc Pro B65 32GB ×2

vllm · FP8 · 1d ago

31B MoE2 runs
Output214 tok/s
Prefill72.2 tok/s
TTFT3,864 ms
Depth0k
Intel Arc Pro B65 32GB ×4

vllm · BF16 · today

Hardware breakdown

Hardware breakdown4

Distinct rigs used across approved submissions.

Intel Arc Pro B65 32GB ×4

68 runs · best 6,370 tok/s

Intel Arc Pro B65 32GB ×2

61 runs · best 3,853 tok/s

Intel Arc Pro B65 32GB

37 runs · best 3,359 tok/s

Intel Arc Pro B65 32GB ×3

34 runs · best 6,337 tok/s

All runs

All runs200

Full approved speed test history · page 4 of 8.

gemma-4-26B-A4B-it

4B MoE · Gemma

1,160

tok/s

Hardware

Intel Arc Pro B65 32GB ×2

Engine

vllm · FP8

TTFT

4,731 ms

Context

4k · today

Show all run details

Model

google/gemma-4-26B-A4B-it

Display name

gemma-4-26B-A4B-it

Base model

gemma-4-26B-A4B

Revision

4d7ae4984b7db7de8f8457170b3f1a419ee76d52

Family

Gemma

Parameters

26B

Active params

4B

MoE

yes

Output

1,160 tok/s

Prefill

64.0 tok/s

Total

2,532 tok/s

TTFT

4,731 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×2

GPU slots

—

GPU count

2

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

FP8

Backend

xpu

Tensor parallel

2

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

fp8

SGLang quant

—

GPU mem util

0.95

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-g26-if8-tp2dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/g26-if8-tp2dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/gemma-4-26B-A4B-it --host 0.0.0.0 --served-model-name g26 --tensor-parallel-size 2 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.95 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype auto --dtype float16 --quantization fp8 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-g26-if8-tp2dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype auto --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 1159.9 tok/s is the aggregate decode rate across all 256 streams, about 4.5 tok/s per stream, and the 4731 ms time to first token is under that load. Setup: KASA B65 rig, 2 x Intel Arc Pro B65, tensor parallel across 2 cards; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 1154.4, 1159.9, 1160 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config g26-if8-tp2dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:21 PM

Last edited

—

gemma-4-26B-A4B-it

4B MoE · Gemma

283

tok/s

Hardware

Intel Arc Pro B65 32GB

Engine

vllm · FP8

TTFT

49,086 ms

Context

4k · today

Show all run details

Model

google/gemma-4-26B-A4B-it

Display name

gemma-4-26B-A4B-it

Base model

gemma-4-26B-A4B

Revision

4d7ae4984b7db7de8f8457170b3f1a419ee76d52

Family

Gemma

Parameters

26B

Active params

4B

MoE

yes

Output

283 tok/s

Prefill

6.3 tok/s

Total

618 tok/s

TTFT

49,086 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

305

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

128

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

FP8

Backend

xpu

Tensor parallel

1

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

fp8

SGLang quant

—

GPU mem util

0.95

Max running seqs

128

Scheduler delay

—

Num parallel

—

Concurrency

128

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-g26-if8-tp1-m0-c128 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/g26-if8-tp1-m0-c128/session:/bench -e ZE_AFFINITY_MASK=0 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/gemma-4-26B-A4B-it --host 0.0.0.0 --served-model-name g26 --tensor-parallel-size 1 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.95 --max-model-len 4096 --max-num-seqs 128 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype auto --dtype float16 --quantization fp8 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-g26-if8-tp1-m0-c128 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype auto --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 128 requests sent at once (batch 128, lmx --concurrency 128); 282.9 tok/s is the aggregate decode rate across all 128 streams, about 2.2 tok/s per stream, and the 49086 ms time to first token is under that load. Setup: KASA B65 rig, 1 x Intel Arc Pro B65, one card; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 128, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (305 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 128: 282.2, 282.9, 284.6 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config g26-if8-tp1-m0-c128, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:21 PM

Last edited

—

Qwen3.6-35B-A3B

3B MoE · Qwen

3,777

tok/s

Hardware

Intel Arc Pro B65 32GB ×4

Engine

vllm · FP8

TTFT

2,583 ms

Context

4k · today

Show all run details

Model

Qwen/Qwen3.6-35B-A3B

Display name

Qwen3.6-35B-A3B

Base model

—

Revision

995ad96eacd98c81ed38be0c5b274b04031597b0

Family

Qwen

Parameters

35B

Active params

3B

MoE

yes

Output

3,777 tok/s

Prefill

117 tok/s

Total

8,208 tok/s

TTFT

2,583 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×4

GPU slots

—

GPU count

4

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

FP8

Backend

xpu

Tensor parallel

4

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

fp8

SGLang quant

—

GPU mem util

0.9

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36x-if8-tp4dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36x-if8-tp4dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2\,3 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.6-35B-A3B --host 0.0.0.0 --served-model-name q36x --tensor-parallel-size 4 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.9 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization fp8 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36x-if8-tp4dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2\,3 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 3777 tok/s is the aggregate decode rate across all 256 streams, about 14.8 tok/s per stream, and the 2583 ms time to first token is under that load. Setup: KASA B65 rig, 4 x Intel Arc Pro B65, tensor parallel across 4 cards; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 3779.5, 3777, 3768.7 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36x-if8-tp4dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:21 PM

Last edited

—

Qwen3.6-35B-A3B

3B MoE · Qwen

2,797

tok/s

Hardware

Intel Arc Pro B65 32GB ×2

Engine

vllm · FP8

TTFT

3,277 ms

Context

4k · today

Show all run details

Model

Qwen/Qwen3.6-35B-A3B

Display name

Qwen3.6-35B-A3B

Base model

—

Revision

995ad96eacd98c81ed38be0c5b274b04031597b0

Family

Qwen

Parameters

35B

Active params

3B

MoE

yes

Output

2,797 tok/s

Prefill

92.6 tok/s

Total

6,091 tok/s

TTFT

3,277 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×2

GPU slots

—

GPU count

2

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

FP8

Backend

xpu

Tensor parallel

2

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

fp8

SGLang quant

—

GPU mem util

0.9

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36x-if8-tp2-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36x-if8-tp2-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.6-35B-A3B --host 0.0.0.0 --served-model-name q36x --tensor-parallel-size 2 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.9 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization fp8 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36x-if8-tp2-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 2796.8 tok/s is the aggregate decode rate across all 256 streams, about 10.9 tok/s per stream, and the 3277 ms time to first token is under that load. Setup: KASA B65 rig, 2 x Intel Arc Pro B65, tensor parallel across 2 cards; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 2807.4, 2796.8, 2785.6 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36x-if8-tp2-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:21 PM

Last edited

—

Qwen3.6-27B-FP8

27B · Qwen

861

tok/s

Hardware

Intel Arc Pro B65 32GB ×4

Engine

vllm · FP8

TTFT

18,920 ms

Context

4k · today

Show all run details

Model

Qwen/Qwen3.6-27B-FP8

Display name

Qwen3.6-27B-FP8

Base model

Qwen3.6-27B

Revision

e89b16ebf1988b3d6befa7de50abc2d76f26eb09

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

861 tok/s

Prefill

16.0 tok/s

Total

1,878 tok/s

TTFT

18,920 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×4

GPU slots

—

GPU count

4

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

FP8

Backend

xpu

Tensor parallel

4

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.9

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36e-u-tp4dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36e-u-tp4dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2\,3 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3.6-27B-FP8 --host 0.0.0.0 --served-model-name q36e --tensor-parallel-size 4 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.9 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36e-u-tp4dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2\,3 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 860.9 tok/s is the aggregate decode rate across all 256 streams, about 3.4 tok/s per stream, and the 18920 ms time to first token is under that load. Setup: KASA B65 rig, 4 x Intel Arc Pro B65, tensor parallel across 4 cards; vLLM 0.32.0rc1.dev100+g77154ca61 (vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 860.9, 860.9, 860.9 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36e-u-tp4dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:21 PM

Last edited

—

Qwen3.6-27B-FP8

27B · Qwen

414

tok/s

Hardware

Intel Arc Pro B65 32GB ×2

Engine

vllm · FP8

TTFT

33,511 ms

Context

4k · today

Show all run details

Model

Qwen/Qwen3.6-27B-FP8

Display name

Qwen3.6-27B-FP8

Base model

Qwen3.6-27B

Revision

e89b16ebf1988b3d6befa7de50abc2d76f26eb09

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

414 tok/s

Prefill

9.0 tok/s

Total

905 tok/s

TTFT

33,511 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×2

GPU slots

—

GPU count

2

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

FP8

Backend

xpu

Tensor parallel

2

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.9

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36e-u-tp2-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36e-u-tp2-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3.6-27B-FP8 --host 0.0.0.0 --served-model-name q36e --tensor-parallel-size 2 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.9 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36e-u-tp2-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 414.4 tok/s is the aggregate decode rate across all 256 streams, about 1.6 tok/s per stream, and the 33511 ms time to first token is under that load. Setup: KASA B65 rig, 2 x Intel Arc Pro B65, tensor parallel across 2 cards; vLLM 0.32.0rc1.dev100+g77154ca61 (vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 414.3, 414.6, 414.4 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36e-u-tp2-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:21 PM

Last edited

—

Qwen3.6-27B

27B · Qwen

1,407

tok/s

Hardware

Intel Arc Pro B65 32GB ×4

Engine

vllm · FP8

TTFT

9,963 ms

Context

4k · today

Show all run details

Model

Qwen/Qwen3.6-27B

Display name

Qwen3.6-27B

Base model

—

Revision

6a9e13bd6fc8f0983b9b99948120bc37f49c13e9

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

1,407 tok/s

Prefill

30.4 tok/s

Total

3,068 tok/s

TTFT

9,963 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×4

GPU slots

—

GPU count

4

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

FP8

Backend

xpu

Tensor parallel

4

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

fp8

SGLang quant

—

GPU mem util

0.95

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36d-if8-tp4dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36d-if8-tp4dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2\,3 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.6-27B --host 0.0.0.0 --served-model-name q36d --tensor-parallel-size 4 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.95 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization fp8 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36d-if8-tp4dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2\,3 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 1407.1 tok/s is the aggregate decode rate across all 256 streams, about 5.5 tok/s per stream, and the 9963 ms time to first token is under that load. Setup: KASA B65 rig, 4 x Intel Arc Pro B65, tensor parallel across 4 cards; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 1407.2, 1407.1, 1406.7 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36d-if8-tp4dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:21 PM

Last edited

—

Qwen3.6-27B

27B · Qwen

714

tok/s

Hardware

Intel Arc Pro B65 32GB ×2

Engine

vllm · FP8

TTFT

16,176 ms

Context

4k · today

Show all run details

Model

Qwen/Qwen3.6-27B

Display name

Qwen3.6-27B

Base model

—

Revision

6a9e13bd6fc8f0983b9b99948120bc37f49c13e9

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

714 tok/s

Prefill

18.7 tok/s

Total

1,558 tok/s

TTFT

16,176 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×2

GPU slots

—

GPU count

2

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

FP8

Backend

xpu

Tensor parallel

2

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

fp8

SGLang quant

—

GPU mem util

0.95

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36d-if8-tp2dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36d-if8-tp2dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.6-27B --host 0.0.0.0 --served-model-name q36d --tensor-parallel-size 2 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.95 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization fp8 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36d-if8-tp2dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 714.1 tok/s is the aggregate decode rate across all 256 streams, about 2.8 tok/s per stream, and the 16176 ms time to first token is under that load. Setup: KASA B65 rig, 2 x Intel Arc Pro B65, tensor parallel across 2 cards; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 714.3, 714.1, 714 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36d-if8-tp2dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:21 PM

Last edited

—

Qwen3.5-9B

9B · Qwen

3,811

tok/s

Hardware

Intel Arc Pro B65 32GB ×4

Engine

vllm · FP8

TTFT

3,296 ms

Context

4k · today

Show all run details

Model

Qwen/Qwen3.5-9B

Display name

Qwen3.5-9B

Base model

Qwen3.5-9B-Base

Revision

c202236235762e1c871ad0ccb60c8ee5ba337b9a

Family

Qwen

Parameters

9B

Active params

—

MoE

no

Output

3,811 tok/s

Prefill

91.8 tok/s

Total

8,293 tok/s

TTFT

3,296 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×4

GPU slots

—

GPU count

4

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

FP8

Backend

xpu

Tensor parallel

4

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

fp8

SGLang quant

—

GPU mem util

0.92

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q359-if8-tp4dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q359-if8-tp4dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2\,3 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.5-9B --host 0.0.0.0 --served-model-name q359 --tensor-parallel-size 4 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization fp8 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q359-if8-tp4dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2\,3 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 3811.2 tok/s is the aggregate decode rate across all 256 streams, about 14.9 tok/s per stream, and the 3296 ms time to first token is under that load. Setup: KASA B65 rig, 4 x Intel Arc Pro B65, tensor parallel across 4 cards; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 3811.9, 3802.3, 3811.2 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q359-if8-tp4dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:21 PM

Last edited

—

Qwen3.5-9B

9B · Qwen

3,079

tok/s

Hardware

Intel Arc Pro B65 32GB ×3

Engine

vllm · FP8

TTFT

3,381 ms

Context

4k · today

Show all run details

Model

Qwen/Qwen3.5-9B

Display name

Qwen3.5-9B

Base model

Qwen3.5-9B-Base

Revision

c202236235762e1c871ad0ccb60c8ee5ba337b9a

Family

Qwen

Parameters

9B

Active params

—

MoE

no

Output

3,079 tok/s

Prefill

90.2 tok/s

Total

6,689 tok/s

TTFT

3,381 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

192

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×3

GPU slots

—

GPU count

3

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

FP8

Backend

xpu

Tensor parallel

1

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

fp8

SGLang quant

—

GPU mem util

0.92

Max running seqs

64

Scheduler delay

—

Num parallel

—

Concurrency

192

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q359-if8-tp1dp3-m0-c192 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q359-if8-tp1dp3-m0-c192/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.5-9B --host 0.0.0.0 --served-model-name q359 --tensor-parallel-size 1 --pipeline-parallel-size 1 --data-parallel-size 3 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 64 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization fp8 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q359-if8-tp1dp3-m0-c192 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 3 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 192 requests sent at once (batch 192, lmx --concurrency 192); 3079.2 tok/s is the aggregate decode rate across all 192 streams, about 16.0 tok/s per stream, and the 3381 ms time to first token is under that load. Setup: KASA B65 rig, 3 x Intel Arc Pro B65, 3 engine replicas (data parallel), 1 card each; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 64 per replica, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 192: 2323.6, 3079.2, 3079.8 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q359-if8-tp1dp3-m0-c192, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:21 PM

Last edited

—

Qwen3.5-9B

9B · Qwen

2,609

tok/s

Hardware

Intel Arc Pro B65 32GB ×2

Engine

vllm · FP8

TTFT

4,972 ms

Context

4k · today

Show all run details

Model

Qwen/Qwen3.5-9B

Display name

Qwen3.5-9B

Base model

Qwen3.5-9B-Base

Revision

c202236235762e1c871ad0ccb60c8ee5ba337b9a

Family

Qwen

Parameters

9B

Active params

—

MoE

no

Output

2,609 tok/s

Prefill

60.9 tok/s

Total

5,684 tok/s

TTFT

4,972 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×2

GPU slots

—

GPU count

2

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

FP8

Backend

xpu

Tensor parallel

2

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

fp8

SGLang quant

—

GPU mem util

0.92

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q359-if8-tp2dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q359-if8-tp2dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.5-9B --host 0.0.0.0 --served-model-name q359 --tensor-parallel-size 2 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization fp8 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q359-if8-tp2dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 2609.4 tok/s is the aggregate decode rate across all 256 streams, about 10.2 tok/s per stream, and the 4972 ms time to first token is under that load. Setup: KASA B65 rig, 2 x Intel Arc Pro B65, tensor parallel across 2 cards; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 2610.8, 2609.4, 2608.9 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q359-if8-tp2dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:21 PM

Last edited

—

Qwen3.5-9B

9B · Qwen

1,588

tok/s

Hardware

Intel Arc Pro B65 32GB

Engine

vllm · FP8

TTFT

4,789 ms

Context

4k · today

Show all run details

Model

Qwen/Qwen3.5-9B

Display name

Qwen3.5-9B

Base model

Qwen3.5-9B-Base

Revision

c202236235762e1c871ad0ccb60c8ee5ba337b9a

Family

Qwen

Parameters

9B

Active params

—

MoE

no

Output

1,588 tok/s

Prefill

63.6 tok/s

Total

3,450 tok/s

TTFT

4,789 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

128

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

FP8

Backend

xpu

Tensor parallel

1

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

fp8

SGLang quant

—

GPU mem util

0.92

Max running seqs

128

Scheduler delay

—

Num parallel

—

Concurrency

128

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q359-if8-tp1-m0-c128 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q359-if8-tp1-m0-c128/session:/bench -e ZE_AFFINITY_MASK=0 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.5-9B --host 0.0.0.0 --served-model-name q359 --tensor-parallel-size 1 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 128 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization fp8 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q359-if8-tp1-m0-c128 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 128 requests sent at once (batch 128, lmx --concurrency 128); 1587.5 tok/s is the aggregate decode rate across all 128 streams, about 12.4 tok/s per stream, and the 4789 ms time to first token is under that load. Setup: KASA B65 rig, 1 x Intel Arc Pro B65, one card; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 128, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 128: 1585.1, 1588.5, 1587.5 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q359-if8-tp1-m0-c128, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:20 PM

Last edited

—

Qwen3.5-9B

9B · Qwen

3,632

tok/s

Hardware

Intel Arc Pro B65 32GB ×4

Engine

vllm · BF16

TTFT

3,899 ms

Context

4k · today

Show all run details

Model

Qwen/Qwen3.5-9B

Display name

Qwen3.5-9B

Base model

Qwen3.5-9B-Base

Revision

c202236235762e1c871ad0ccb60c8ee5ba337b9a

Family

Qwen

Parameters

9B

Active params

—

MoE

no

Output

3,632 tok/s

Prefill

78.4 tok/s

Total

7,912 tok/s

TTFT

3,899 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×4

GPU slots

—

GPU count

4

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

BF16

Backend

xpu

Tensor parallel

4

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.92

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q359-u-tp4dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q359-u-tp4dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2\,3 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3.5-9B --host 0.0.0.0 --served-model-name q359 --tensor-parallel-size 4 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype bfloat16 --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q359-u-tp4dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2\,3 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 3632.4 tok/s is the aggregate decode rate across all 256 streams, about 14.2 tok/s per stream, and the 3899 ms time to first token is under that load. Setup: KASA B65 rig, 4 x Intel Arc Pro B65, tensor parallel across 4 cards; vLLM 0.32.0rc1.dev100+g77154ca61 (vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 3634.1, 3621.9, 3632.4 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q359-u-tp4dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:20 PM

Last edited

—

Qwen3.5-9B

9B · Qwen

1,523

tok/s

Hardware

Intel Arc Pro B65 32GB ×3

Engine

vllm · BF16

TTFT

3,386 ms

Context

4k · today

Show all run details

Model

Qwen/Qwen3.5-9B

Display name

Qwen3.5-9B

Base model

Qwen3.5-9B-Base

Revision

c202236235762e1c871ad0ccb60c8ee5ba337b9a

Family

Qwen

Parameters

9B

Active params

—

MoE

no

Output

1,523 tok/s

Prefill

90.2 tok/s

Total

3,321 tok/s

TTFT

3,386 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

192

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×3

GPU slots

—

GPU count

3

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

BF16

Backend

xpu

Tensor parallel

1

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.92

Max running seqs

64

Scheduler delay

—

Num parallel

—

Concurrency

192

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q359-u-tp1dp3-m0-c192 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q359-u-tp1dp3-m0-c192/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3.5-9B --host 0.0.0.0 --served-model-name q359 --tensor-parallel-size 1 --pipeline-parallel-size 1 --data-parallel-size 3 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 64 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype bfloat16 --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q359-u-tp1dp3-m0-c192 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 3 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 192 requests sent at once (batch 192, lmx --concurrency 192); 1522.8 tok/s is the aggregate decode rate across all 192 streams, about 7.9 tok/s per stream, and the 3386 ms time to first token is under that load. Setup: KASA B65 rig, 3 x Intel Arc Pro B65, 3 engine replicas (data parallel), 1 card each; vLLM 0.32.0rc1.dev100+g77154ca61 (vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989); max_num_seqs 64 per replica, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 192: 1528.7, 1515.4, 1522.8 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q359-u-tp1dp3-m0-c192, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:20 PM

Last edited

—

Qwen3.5-9B

9B · Qwen

2,506

tok/s

Hardware

Intel Arc Pro B65 32GB ×2

Engine

vllm · BF16

TTFT

5,006 ms

Context

4k · today

Show all run details

Model

Qwen/Qwen3.5-9B

Display name

Qwen3.5-9B

Base model

Qwen3.5-9B-Base

Revision

c202236235762e1c871ad0ccb60c8ee5ba337b9a

Family

Qwen

Parameters

9B

Active params

—

MoE

no

Output

2,506 tok/s

Prefill

60.5 tok/s

Total

5,461 tok/s

TTFT

5,006 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×2

GPU slots

—

GPU count

2

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

BF16

Backend

xpu

Tensor parallel

2

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.92

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q359-u-tp2dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q359-u-tp2dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3.5-9B --host 0.0.0.0 --served-model-name q359 --tensor-parallel-size 2 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype bfloat16 --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q359-u-tp2dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 2506 tok/s is the aggregate decode rate across all 256 streams, about 9.8 tok/s per stream, and the 5006 ms time to first token is under that load. Setup: KASA B65 rig, 2 x Intel Arc Pro B65, tensor parallel across 2 cards; vLLM 0.32.0rc1.dev100+g77154ca61 (vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 2506.6, 2506, 2505.9 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q359-u-tp2dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:20 PM

Last edited

—

Qwen3.5-9B

9B · Qwen

1,497

tok/s

Hardware

Intel Arc Pro B65 32GB

Engine

vllm · BF16

TTFT

4,798 ms

Context

4k · today

Show all run details

Model

Qwen/Qwen3.5-9B

Display name

Qwen3.5-9B

Base model

Qwen3.5-9B-Base

Revision

c202236235762e1c871ad0ccb60c8ee5ba337b9a

Family

Qwen

Parameters

9B

Active params

—

MoE

no

Output

1,497 tok/s

Prefill

63.6 tok/s

Total

3,255 tok/s

TTFT

4,798 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

128

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

BF16

Backend

xpu

Tensor parallel

1

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.92

Max running seqs

128

Scheduler delay

—

Num parallel

—

Concurrency

128

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q359-u-tp1-m0-c128 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q359-u-tp1-m0-c128/session:/bench -e ZE_AFFINITY_MASK=0 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3.5-9B --host 0.0.0.0 --served-model-name q359 --tensor-parallel-size 1 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 128 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype bfloat16 --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q359-u-tp1-m0-c128 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 128 requests sent at once (batch 128, lmx --concurrency 128); 1496.6 tok/s is the aggregate decode rate across all 128 streams, about 11.7 tok/s per stream, and the 4798 ms time to first token is under that load. Setup: KASA B65 rig, 1 x Intel Arc Pro B65, one card; vLLM 0.32.0rc1.dev100+g77154ca61 (vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989); max_num_seqs 128, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 128: 1496.6, 1496.7, 1491.9 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q359-u-tp1-m0-c128, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:20 PM

Last edited

—

Qwen3.6-27B

27B · Qwen

1,380

tok/s

Hardware

Intel Arc Pro B65 32GB ×4

Engine

vllm · INT4

TTFT

10,293 ms

Context

4k · 1d ago

Show all run details

Model

Qwen/Qwen3.6-27B

Display name

Qwen3.6-27B

Base model

—

Revision

6a9e13bd6fc8f0983b9b99948120bc37f49c13e9

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

1,380 tok/s

Prefill

29.4 tok/s

Total

3,008 tok/s

TTFT

10,293 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×4

GPU slots

—

GPU count

4

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

INT4

Backend

xpu

Tensor parallel

4

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

sym_int4

SGLang quant

—

GPU mem util

0.92

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36d-iq4-tp4dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36d-iq4-tp4dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2\,3 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.6-27B --host 0.0.0.0 --served-model-name q36d --tensor-parallel-size 4 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization sym_int4 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36d-iq4-tp4dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2\,3 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 1379.8 tok/s is the aggregate decode rate across all 256 streams, about 5.4 tok/s per stream, and the 10293 ms time to first token is under that load. Setup: KASA B65 rig, 4 x Intel Arc Pro B65, tensor parallel across 4 cards; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 1379.8, 1379.1, 1379.8 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36d-iq4-tp4dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 2:05 PM

Last edited

—

Qwen3.6-27B

27B · Qwen

526

tok/s

Hardware

Intel Arc Pro B65 32GB ×3

Engine

vllm · INT4

TTFT

11,902 ms

Context

4k · 1d ago

Show all run details

Model

Qwen/Qwen3.6-27B

Display name

Qwen3.6-27B

Base model

—

Revision

6a9e13bd6fc8f0983b9b99948120bc37f49c13e9

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

526 tok/s

Prefill

25.5 tok/s

Total

1,146 tok/s

TTFT

11,902 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

192

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×3

GPU slots

—

GPU count

3

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

INT4

Backend

xpu

Tensor parallel

1

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

sym_int4

SGLang quant

—

GPU mem util

0.92

Max running seqs

64

Scheduler delay

—

Num parallel

—

Concurrency

192

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36d-iq4-tp1dp3-m0-c192 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36d-iq4-tp1dp3-m0-c192/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.6-27B --host 0.0.0.0 --served-model-name q36d --tensor-parallel-size 1 --pipeline-parallel-size 1 --data-parallel-size 3 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 64 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization sym_int4 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36d-iq4-tp1dp3-m0-c192 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 3 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 192 requests sent at once (batch 192, lmx --concurrency 192); 525.7 tok/s is the aggregate decode rate across all 192 streams, about 2.7 tok/s per stream, and the 11902 ms time to first token is under that load. Setup: KASA B65 rig, 3 x Intel Arc Pro B65, 3 engine replicas (data parallel), 1 card each; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 64 per replica, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 192: 526.3, 525.7, 462.7 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36d-iq4-tp1dp3-m0-c192, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 2:04 PM

Last edited

—

Qwen3.6-27B

27B · Qwen

838

tok/s

Hardware

Intel Arc Pro B65 32GB ×2

Engine

vllm · INT4

TTFT

16,716 ms

Context

4k · 1d ago

Show all run details

Model

Qwen/Qwen3.6-27B

Display name

Qwen3.6-27B

Base model

—

Revision

6a9e13bd6fc8f0983b9b99948120bc37f49c13e9

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

838 tok/s

Prefill

18.1 tok/s

Total

1,828 tok/s

TTFT

16,716 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×2

GPU slots

—

GPU count

2

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

INT4

Backend

xpu

Tensor parallel

2

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

sym_int4

SGLang quant

—

GPU mem util

0.92

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36d-iq4-tp2dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36d-iq4-tp2dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.6-27B --host 0.0.0.0 --served-model-name q36d --tensor-parallel-size 2 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization sym_int4 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36d-iq4-tp2dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 837.9 tok/s is the aggregate decode rate across all 256 streams, about 3.3 tok/s per stream, and the 16716 ms time to first token is under that load. Setup: KASA B65 rig, 2 x Intel Arc Pro B65, tensor parallel across 2 cards; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 838.3, 837.8, 837.9 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36d-iq4-tp2dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 2:04 PM

Last edited

—

172

tok/s

Hardware

Intel Arc Pro B65 32GB ×4

Engine

vllm · INT4_W4A16

TTFT

134 ms

Context

4k · 1d ago

Show all run details

Model

dbirks/Qwen3.8-27B-W4A16-AutoRound

Display name

Qwen3.8-27B-W4A16-AutoRound

Base model

Qwen3.8-27B

Revision

1f05c441c4e64ae0549de44fa9ea5a6d43610314

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

172 tok/s

Prefill

2,612 tok/s

Total

375 tok/s

TTFT

134 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

349

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×4

GPU slots

—

GPU count

4

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

INT4_W4A16

Backend

xpu

Tensor parallel

4

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.9

Max running seqs

4

Scheduler delay

—

Num parallel

—

Concurrency

1

Spec decoding

yes

Spec method

MTP

Spec model

—

Spec draft model

—

Spec tokens

5

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

yes

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q38d-u-tp4-m5 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q38d-u-tp4-m5/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2\,3 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=1 -e DISABLE_ESIMD_INT4=1 -e DISABLE_ESIMD_INT4_GEMM=1 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3.8-27B-W4A16-AutoRound-dbirks --host 0.0.0.0 --served-model-name q38d --tensor-parallel-size 4 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.9 --max-model-len 4096 --max-num-seqs 4 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --speculative-config \{\"method\":\"qwen3_5_mtp\"\,\"num_speculative_tokens\":5\} --cpu-offload-gb 0 --port 8000

Extra flags

--speculative-config \{\method\:\qwen3_5_mtp\\,\num_speculative_tokens\:5\} --rm --d --name lsv-q38d-u-tp4-m5 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2\,3 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=1 --e DISABLE_ESIMD_INT4=1 --e DISABLE_ESIMD_INT4_GEMM=1 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

KASA B65 rig. Config q38d-u-tp4-m5 served by kasa-testing scripts/bench serve.sh after its correctness gate. Canonical reasoning-v1, lmx single-shot requests after one discarded warm-up. Measured requests: 172.2, 162.9, 172.3 tok/s; this is the median (declared rule, tie to the earlier). Prompt/output samples, engineTimingsRaw and MTP counts were added from the lmx run file and exact per-request vLLM /metrics deltas, because lmx does not send them.

Reactions

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Submitted

Oct 16, 2026, 1:50 PM

Last edited

—

111

tok/s

Hardware

Intel Arc Pro B65 32GB ×2

Engine

vllm · INT4_W4A16

TTFT

185 ms

Context

4k · 1d ago

Show all run details

Model

dbirks/Qwen3.8-27B-W4A16-AutoRound

Display name

Qwen3.8-27B-W4A16-AutoRound

Base model

Qwen3.8-27B

Revision

1f05c441c4e64ae0549de44fa9ea5a6d43610314

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

111 tok/s

Prefill

1,867 tok/s

Total

243 tok/s

TTFT

185 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

346

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×2

GPU slots

—

GPU count

2

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

INT4_W4A16

Backend

xpu

Tensor parallel

2

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.9

Max running seqs

4

Scheduler delay

—

Num parallel

—

Concurrency

1

Spec decoding

yes

Spec method

MTP

Spec model

—

Spec draft model

—

Spec tokens

5

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

yes

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q38d-u-tp2-m5 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q38d-u-tp2-m5/session:/bench -e ZE_AFFINITY_MASK=0\,1 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=1 -e DISABLE_ESIMD_INT4=1 -e DISABLE_ESIMD_INT4_GEMM=1 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3.8-27B-W4A16-AutoRound-dbirks --host 0.0.0.0 --served-model-name q38d --tensor-parallel-size 2 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.9 --max-model-len 4096 --max-num-seqs 4 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --speculative-config \{\"method\":\"qwen3_5_mtp\"\,\"num_speculative_tokens\":5\} --cpu-offload-gb 0 --port 8000

Extra flags

--speculative-config \{\method\:\qwen3_5_mtp\\,\num_speculative_tokens\:5\} --rm --d --name lsv-q38d-u-tp2-m5 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=1 --e DISABLE_ESIMD_INT4=1 --e DISABLE_ESIMD_INT4_GEMM=1 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

KASA B65 rig. Config q38d-u-tp2-m5 served by kasa-testing scripts/bench serve.sh after its correctness gate. Canonical reasoning-v1, lmx single-shot requests after one discarded warm-up. Measured requests: 111.4, 105.2, 111.4 tok/s; this is the median (declared rule, tie to the earlier). Prompt/output samples, engineTimingsRaw and MTP counts were added from the lmx run file and exact per-request vLLM /metrics deltas, because lmx does not send them.

Reactions

—

Submitted

Oct 16, 2026, 1:50 PM

Last edited

—

75.4

tok/s

Hardware

Intel Arc Pro B65 32GB

Engine

vllm · INT4_W4A16

TTFT

284 ms

Context

4k · 1d ago

Show all run details

Model

dbirks/Qwen3.8-27B-W4A16-AutoRound

Display name

Qwen3.8-27B-W4A16-AutoRound

Base model

Qwen3.8-27B

Revision

1f05c441c4e64ae0549de44fa9ea5a6d43610314

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

75.4 tok/s

Prefill

1,229 tok/s

Total

165 tok/s

TTFT

284 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

349

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

INT4_W4A16

Backend

xpu

Tensor parallel

1

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.92

Max running seqs

4

Scheduler delay

—

Num parallel

—

Concurrency

1

Spec decoding

yes

Spec method

MTP

Spec model

—

Spec draft model

—

Spec tokens

5

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

yes

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q38d-u-tp1-m5 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q38d-u-tp1-m5/session:/bench -e ZE_AFFINITY_MASK=0 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=1 -e DISABLE_ESIMD_INT4=1 -e DISABLE_ESIMD_INT4_GEMM=1 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3.8-27B-W4A16-AutoRound-dbirks --host 0.0.0.0 --served-model-name q38d --tensor-parallel-size 1 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 4 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --speculative-config \{\"method\":\"qwen3_5_mtp\"\,\"num_speculative_tokens\":5\} --cpu-offload-gb 0 --port 8000

Extra flags

--speculative-config \{\method\:\qwen3_5_mtp\\,\num_speculative_tokens\:5\} --rm --d --name lsv-q38d-u-tp1-m5 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=1 --e DISABLE_ESIMD_INT4=1 --e DISABLE_ESIMD_INT4_GEMM=1 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

KASA B65 rig. Config q38d-u-tp1-m5 served by kasa-testing scripts/bench serve.sh after its correctness gate. Canonical reasoning-v1, lmx single-shot requests after one discarded warm-up. Measured requests: 75.4, 74, 79.8 tok/s; this is the median (declared rule, tie to the earlier). Prompt/output samples, engineTimingsRaw and MTP counts were added from the lmx run file and exact per-request vLLM /metrics deltas, because lmx does not send them.

Reactions

—

Submitted

Oct 16, 2026, 1:50 PM

Last edited

—

Qwen3.6-27B

27B · Qwen

232

tok/s

Hardware

Intel Arc Pro B65 32GB

Engine

vllm · INT4

TTFT

15,668 ms

Context

4k · 1d ago

Show all run details

Model

Qwen/Qwen3.6-27B

Display name

Qwen3.6-27B

Base model

—

Revision

6a9e13bd6fc8f0983b9b99948120bc37f49c13e9

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

232 tok/s

Prefill

19.4 tok/s

Total

507 tok/s

TTFT

15,668 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

128

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

INT4

Backend

xpu

Tensor parallel

1

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

sym_int4

SGLang quant

—

GPU mem util

0.92

Max running seqs

128

Scheduler delay

—

Num parallel

—

Concurrency

128

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36d-iq4-tp1-m0-c128 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36d-iq4-tp1-m0-c128/session:/bench -e ZE_AFFINITY_MASK=0 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.6-27B --host 0.0.0.0 --served-model-name q36d --tensor-parallel-size 1 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 128 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization sym_int4 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36d-iq4-tp1-m0-c128 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 128 requests sent at once (batch 128, lmx --concurrency 128); 232.3 tok/s is the aggregate decode rate across all 128 streams, about 1.8 tok/s per stream, and the 15668 ms time to first token is under that load. Setup: KASA B65 rig, 1 x Intel Arc Pro B65, one card; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 128, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 128: 232.4, 232.1, 232.3 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36d-iq4-tp1-m0-c128, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

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Submitted

Oct 16, 2026, 1:47 PM

Last edited

—

Qwen3.6-27B

27B · Qwen

1,340

tok/s

Hardware

Intel Arc Pro B65 32GB ×4

Engine

vllm · BF16

TTFT

10,178 ms

Context

4k · 1d ago

Show all run details

Model

Qwen/Qwen3.6-27B

Display name

Qwen3.6-27B

Base model

—

Revision

6a9e13bd6fc8f0983b9b99948120bc37f49c13e9

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

1,340 tok/s

Prefill

29.8 tok/s

Total

2,921 tok/s

TTFT

10,178 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×4

GPU slots

—

GPU count

4

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

BF16

Backend

xpu

Tensor parallel

4

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.95

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36d-u-tp4dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36d-u-tp4dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2\,3 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3.6-27B --host 0.0.0.0 --served-model-name q36d --tensor-parallel-size 4 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.95 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype bfloat16 --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36d-u-tp4dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2\,3 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 1339.9 tok/s is the aggregate decode rate across all 256 streams, about 5.2 tok/s per stream, and the 10178 ms time to first token is under that load. Setup: KASA B65 rig, 4 x Intel Arc Pro B65, tensor parallel across 4 cards; vLLM 0.32.0rc1.dev100+g77154ca61 (vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 1339.9, 1339.7, 1339.9 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36d-u-tp4dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

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Submitted

Oct 16, 2026, 1:47 PM

Last edited

—

Qwen3-4B

4B · Qwen

124

tok/s

Hardware

Intel Arc Pro B65 32GB ×4

Engine

vllm · BF16

TTFT

42.9 ms

Context

4k · 1d ago

Show all run details

Model

Qwen/Qwen3-4B

Display name

Qwen3-4B

Base model

Qwen3-4B-Base

Revision

1cfa9a7208912126459214e8b04321603b3df60c

Family

Qwen

Parameters

4B

Active params

—

MoE

no

Output

124 tok/s

Prefill

6,946 tok/s

Total

264 tok/s

TTFT

42.9 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

298

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×4

GPU slots

—

GPU count

4

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

BF16

Backend

xpu

Tensor parallel

4

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.9

Max running seqs

4

Scheduler delay

—

Num parallel

—

Concurrency

1

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q34-u-tp4-m0 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q34-u-tp4-m0/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2\,3 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3-4B --host 0.0.0.0 --served-model-name q34 --tensor-parallel-size 4 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.9 --max-model-len 4096 --max-num-seqs 4 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype auto --dtype bfloat16 --no-enable-prefix-caching --trust-remote-code --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q34-u-tp4-m0 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2\,3 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype auto --no-enable-prefix-caching

Notes

KASA B65 rig. Config q34-u-tp4-m0 served by kasa-testing scripts/bench serve.sh after its correctness gate. Canonical reasoning-v1, lmx single-shot requests after one discarded warm-up. Measured requests: 124.1, 124, 124 tok/s; this is the median (declared rule, tie to the earlier). Prompt/output samples, engineTimingsRaw and MTP counts were added from the lmx run file and exact per-request vLLM /metrics deltas, because lmx does not send them.

Reactions

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Submitted

Oct 16, 2026, 1:47 PM

Last edited

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ModelHardwareEnginetok/s outprefilltok/s totalTTFTDepthShare
gemma-4-26B-A4B-it

4B MoE · Gemma

Intel Arc Pro B65 32GB ×2
vllmFP81,16064.02,5324,731 ms0k
Show all details for gemma-4-26B-A4B-it

Model

google/gemma-4-26B-A4B-it

Display name

gemma-4-26B-A4B-it

Base model

gemma-4-26B-A4B

Revision

4d7ae4984b7db7de8f8457170b3f1a419ee76d52

Family

Gemma

Parameters

26B

Active params

4B

MoE

yes

Output

1,160 tok/s

Prefill

64.0 tok/s

Total

2,532 tok/s

TTFT

4,731 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×2

GPU slots

—

GPU count

2

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

FP8

Backend

xpu

Tensor parallel

2

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

fp8

SGLang quant

—

GPU mem util

0.95

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-g26-if8-tp2dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/g26-if8-tp2dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/gemma-4-26B-A4B-it --host 0.0.0.0 --served-model-name g26 --tensor-parallel-size 2 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.95 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype auto --dtype float16 --quantization fp8 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-g26-if8-tp2dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype auto --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 1159.9 tok/s is the aggregate decode rate across all 256 streams, about 4.5 tok/s per stream, and the 4731 ms time to first token is under that load. Setup: KASA B65 rig, 2 x Intel Arc Pro B65, tensor parallel across 2 cards; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 1154.4, 1159.9, 1160 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config g26-if8-tp2dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

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Submitted

Oct 16, 2026, 5:21 PM

Last edited

—

gemma-4-26B-A4B-it

4B MoE · Gemma

Intel Arc Pro B65 32GB
vllmFP82836.361849,086 ms0k
Show all details for gemma-4-26B-A4B-it

Model

google/gemma-4-26B-A4B-it

Display name

gemma-4-26B-A4B-it

Base model

gemma-4-26B-A4B

Revision

4d7ae4984b7db7de8f8457170b3f1a419ee76d52

Family

Gemma

Parameters

26B

Active params

4B

MoE

yes

Output

283 tok/s

Prefill

6.3 tok/s

Total

618 tok/s

TTFT

49,086 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

305

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

128

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

FP8

Backend

xpu

Tensor parallel

1

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

fp8

SGLang quant

—

GPU mem util

0.95

Max running seqs

128

Scheduler delay

—

Num parallel

—

Concurrency

128

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-g26-if8-tp1-m0-c128 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/g26-if8-tp1-m0-c128/session:/bench -e ZE_AFFINITY_MASK=0 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/gemma-4-26B-A4B-it --host 0.0.0.0 --served-model-name g26 --tensor-parallel-size 1 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.95 --max-model-len 4096 --max-num-seqs 128 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype auto --dtype float16 --quantization fp8 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-g26-if8-tp1-m0-c128 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype auto --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 128 requests sent at once (batch 128, lmx --concurrency 128); 282.9 tok/s is the aggregate decode rate across all 128 streams, about 2.2 tok/s per stream, and the 49086 ms time to first token is under that load. Setup: KASA B65 rig, 1 x Intel Arc Pro B65, one card; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 128, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (305 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 128: 282.2, 282.9, 284.6 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config g26-if8-tp1-m0-c128, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

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Submitted

Oct 16, 2026, 5:21 PM

Last edited

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Qwen3.6-35B-A3B

3B MoE · Qwen

Intel Arc Pro B65 32GB ×4
vllmFP83,7771178,2082,583 ms0k
Show all details for Qwen3.6-35B-A3B

Model

Qwen/Qwen3.6-35B-A3B

Display name

Qwen3.6-35B-A3B

Base model

—

Revision

995ad96eacd98c81ed38be0c5b274b04031597b0

Family

Qwen

Parameters

35B

Active params

3B

MoE

yes

Output

3,777 tok/s

Prefill

117 tok/s

Total

8,208 tok/s

TTFT

2,583 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×4

GPU slots

—

GPU count

4

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

FP8

Backend

xpu

Tensor parallel

4

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

fp8

SGLang quant

—

GPU mem util

0.9

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36x-if8-tp4dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36x-if8-tp4dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2\,3 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.6-35B-A3B --host 0.0.0.0 --served-model-name q36x --tensor-parallel-size 4 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.9 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization fp8 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36x-if8-tp4dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2\,3 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 3777 tok/s is the aggregate decode rate across all 256 streams, about 14.8 tok/s per stream, and the 2583 ms time to first token is under that load. Setup: KASA B65 rig, 4 x Intel Arc Pro B65, tensor parallel across 4 cards; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 3779.5, 3777, 3768.7 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36x-if8-tp4dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

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Submitted

Oct 16, 2026, 5:21 PM

Last edited

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Qwen3.6-35B-A3B

3B MoE · Qwen

Intel Arc Pro B65 32GB ×2
vllmFP82,79792.66,0913,277 ms0k
Show all details for Qwen3.6-35B-A3B

Model

Qwen/Qwen3.6-35B-A3B

Display name

Qwen3.6-35B-A3B

Base model

—

Revision

995ad96eacd98c81ed38be0c5b274b04031597b0

Family

Qwen

Parameters

35B

Active params

3B

MoE

yes

Output

2,797 tok/s

Prefill

92.6 tok/s

Total

6,091 tok/s

TTFT

3,277 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×2

GPU slots

—

GPU count

2

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

FP8

Backend

xpu

Tensor parallel

2

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

fp8

SGLang quant

—

GPU mem util

0.9

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36x-if8-tp2-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36x-if8-tp2-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.6-35B-A3B --host 0.0.0.0 --served-model-name q36x --tensor-parallel-size 2 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.9 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization fp8 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36x-if8-tp2-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 2796.8 tok/s is the aggregate decode rate across all 256 streams, about 10.9 tok/s per stream, and the 3277 ms time to first token is under that load. Setup: KASA B65 rig, 2 x Intel Arc Pro B65, tensor parallel across 2 cards; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 2807.4, 2796.8, 2785.6 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36x-if8-tp2-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

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Submitted

Oct 16, 2026, 5:21 PM

Last edited

—

Qwen3.6-27B-FP8

27B · Qwen

Intel Arc Pro B65 32GB ×4
vllmFP886116.01,87818,920 ms0k
Show all details for Qwen3.6-27B-FP8

Model

Qwen/Qwen3.6-27B-FP8

Display name

Qwen3.6-27B-FP8

Base model

Qwen3.6-27B

Revision

e89b16ebf1988b3d6befa7de50abc2d76f26eb09

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

861 tok/s

Prefill

16.0 tok/s

Total

1,878 tok/s

TTFT

18,920 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×4

GPU slots

—

GPU count

4

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

FP8

Backend

xpu

Tensor parallel

4

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.9

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36e-u-tp4dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36e-u-tp4dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2\,3 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3.6-27B-FP8 --host 0.0.0.0 --served-model-name q36e --tensor-parallel-size 4 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.9 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36e-u-tp4dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2\,3 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 860.9 tok/s is the aggregate decode rate across all 256 streams, about 3.4 tok/s per stream, and the 18920 ms time to first token is under that load. Setup: KASA B65 rig, 4 x Intel Arc Pro B65, tensor parallel across 4 cards; vLLM 0.32.0rc1.dev100+g77154ca61 (vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 860.9, 860.9, 860.9 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36e-u-tp4dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:21 PM

Last edited

—

Qwen3.6-27B-FP8

27B · Qwen

Intel Arc Pro B65 32GB ×2
vllmFP84149.090533,511 ms0k
Show all details for Qwen3.6-27B-FP8

Model

Qwen/Qwen3.6-27B-FP8

Display name

Qwen3.6-27B-FP8

Base model

Qwen3.6-27B

Revision

e89b16ebf1988b3d6befa7de50abc2d76f26eb09

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

414 tok/s

Prefill

9.0 tok/s

Total

905 tok/s

TTFT

33,511 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×2

GPU slots

—

GPU count

2

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

FP8

Backend

xpu

Tensor parallel

2

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.9

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36e-u-tp2-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36e-u-tp2-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3.6-27B-FP8 --host 0.0.0.0 --served-model-name q36e --tensor-parallel-size 2 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.9 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36e-u-tp2-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 414.4 tok/s is the aggregate decode rate across all 256 streams, about 1.6 tok/s per stream, and the 33511 ms time to first token is under that load. Setup: KASA B65 rig, 2 x Intel Arc Pro B65, tensor parallel across 2 cards; vLLM 0.32.0rc1.dev100+g77154ca61 (vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 414.3, 414.6, 414.4 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36e-u-tp2-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:21 PM

Last edited

—

Qwen3.6-27B

27B · Qwen

Intel Arc Pro B65 32GB ×4
vllmFP81,40730.43,0689,963 ms0k
Show all details for Qwen3.6-27B

Model

Qwen/Qwen3.6-27B

Display name

Qwen3.6-27B

Base model

—

Revision

6a9e13bd6fc8f0983b9b99948120bc37f49c13e9

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

1,407 tok/s

Prefill

30.4 tok/s

Total

3,068 tok/s

TTFT

9,963 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×4

GPU slots

—

GPU count

4

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

FP8

Backend

xpu

Tensor parallel

4

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

fp8

SGLang quant

—

GPU mem util

0.95

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36d-if8-tp4dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36d-if8-tp4dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2\,3 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.6-27B --host 0.0.0.0 --served-model-name q36d --tensor-parallel-size 4 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.95 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization fp8 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36d-if8-tp4dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2\,3 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 1407.1 tok/s is the aggregate decode rate across all 256 streams, about 5.5 tok/s per stream, and the 9963 ms time to first token is under that load. Setup: KASA B65 rig, 4 x Intel Arc Pro B65, tensor parallel across 4 cards; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 1407.2, 1407.1, 1406.7 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36d-if8-tp4dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:21 PM

Last edited

—

Qwen3.6-27B

27B · Qwen

Intel Arc Pro B65 32GB ×2
vllmFP871418.71,55816,176 ms0k
Show all details for Qwen3.6-27B

Model

Qwen/Qwen3.6-27B

Display name

Qwen3.6-27B

Base model

—

Revision

6a9e13bd6fc8f0983b9b99948120bc37f49c13e9

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

714 tok/s

Prefill

18.7 tok/s

Total

1,558 tok/s

TTFT

16,176 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×2

GPU slots

—

GPU count

2

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

FP8

Backend

xpu

Tensor parallel

2

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

fp8

SGLang quant

—

GPU mem util

0.95

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36d-if8-tp2dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36d-if8-tp2dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.6-27B --host 0.0.0.0 --served-model-name q36d --tensor-parallel-size 2 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.95 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization fp8 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36d-if8-tp2dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 714.1 tok/s is the aggregate decode rate across all 256 streams, about 2.8 tok/s per stream, and the 16176 ms time to first token is under that load. Setup: KASA B65 rig, 2 x Intel Arc Pro B65, tensor parallel across 2 cards; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 714.3, 714.1, 714 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36d-if8-tp2dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:21 PM

Last edited

—

Qwen3.5-9B

9B · Qwen

Intel Arc Pro B65 32GB ×4
vllmFP83,81191.88,2933,296 ms0k
Show all details for Qwen3.5-9B

Model

Qwen/Qwen3.5-9B

Display name

Qwen3.5-9B

Base model

Qwen3.5-9B-Base

Revision

c202236235762e1c871ad0ccb60c8ee5ba337b9a

Family

Qwen

Parameters

9B

Active params

—

MoE

no

Output

3,811 tok/s

Prefill

91.8 tok/s

Total

8,293 tok/s

TTFT

3,296 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×4

GPU slots

—

GPU count

4

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

FP8

Backend

xpu

Tensor parallel

4

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

fp8

SGLang quant

—

GPU mem util

0.92

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q359-if8-tp4dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q359-if8-tp4dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2\,3 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.5-9B --host 0.0.0.0 --served-model-name q359 --tensor-parallel-size 4 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization fp8 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q359-if8-tp4dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2\,3 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 3811.2 tok/s is the aggregate decode rate across all 256 streams, about 14.9 tok/s per stream, and the 3296 ms time to first token is under that load. Setup: KASA B65 rig, 4 x Intel Arc Pro B65, tensor parallel across 4 cards; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 3811.9, 3802.3, 3811.2 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q359-if8-tp4dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:21 PM

Last edited

—

Qwen3.5-9B

9B · Qwen

Intel Arc Pro B65 32GB ×3
vllmFP83,07990.26,6893,381 ms0k
Show all details for Qwen3.5-9B

Model

Qwen/Qwen3.5-9B

Display name

Qwen3.5-9B

Base model

Qwen3.5-9B-Base

Revision

c202236235762e1c871ad0ccb60c8ee5ba337b9a

Family

Qwen

Parameters

9B

Active params

—

MoE

no

Output

3,079 tok/s

Prefill

90.2 tok/s

Total

6,689 tok/s

TTFT

3,381 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

192

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×3

GPU slots

—

GPU count

3

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

FP8

Backend

xpu

Tensor parallel

1

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

fp8

SGLang quant

—

GPU mem util

0.92

Max running seqs

64

Scheduler delay

—

Num parallel

—

Concurrency

192

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q359-if8-tp1dp3-m0-c192 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q359-if8-tp1dp3-m0-c192/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.5-9B --host 0.0.0.0 --served-model-name q359 --tensor-parallel-size 1 --pipeline-parallel-size 1 --data-parallel-size 3 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 64 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization fp8 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q359-if8-tp1dp3-m0-c192 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 3 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 192 requests sent at once (batch 192, lmx --concurrency 192); 3079.2 tok/s is the aggregate decode rate across all 192 streams, about 16.0 tok/s per stream, and the 3381 ms time to first token is under that load. Setup: KASA B65 rig, 3 x Intel Arc Pro B65, 3 engine replicas (data parallel), 1 card each; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 64 per replica, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 192: 2323.6, 3079.2, 3079.8 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q359-if8-tp1dp3-m0-c192, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:21 PM

Last edited

—

Qwen3.5-9B

9B · Qwen

Intel Arc Pro B65 32GB ×2
vllmFP82,60960.95,6844,972 ms0k
Show all details for Qwen3.5-9B

Model

Qwen/Qwen3.5-9B

Display name

Qwen3.5-9B

Base model

Qwen3.5-9B-Base

Revision

c202236235762e1c871ad0ccb60c8ee5ba337b9a

Family

Qwen

Parameters

9B

Active params

—

MoE

no

Output

2,609 tok/s

Prefill

60.9 tok/s

Total

5,684 tok/s

TTFT

4,972 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×2

GPU slots

—

GPU count

2

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

FP8

Backend

xpu

Tensor parallel

2

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

fp8

SGLang quant

—

GPU mem util

0.92

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q359-if8-tp2dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q359-if8-tp2dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.5-9B --host 0.0.0.0 --served-model-name q359 --tensor-parallel-size 2 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization fp8 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q359-if8-tp2dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 2609.4 tok/s is the aggregate decode rate across all 256 streams, about 10.2 tok/s per stream, and the 4972 ms time to first token is under that load. Setup: KASA B65 rig, 2 x Intel Arc Pro B65, tensor parallel across 2 cards; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 2610.8, 2609.4, 2608.9 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q359-if8-tp2dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:21 PM

Last edited

—

Qwen3.5-9B

9B · Qwen

Intel Arc Pro B65 32GB
vllmFP81,58863.63,4504,789 ms0k
Show all details for Qwen3.5-9B

Model

Qwen/Qwen3.5-9B

Display name

Qwen3.5-9B

Base model

Qwen3.5-9B-Base

Revision

c202236235762e1c871ad0ccb60c8ee5ba337b9a

Family

Qwen

Parameters

9B

Active params

—

MoE

no

Output

1,588 tok/s

Prefill

63.6 tok/s

Total

3,450 tok/s

TTFT

4,789 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

128

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

FP8

Backend

xpu

Tensor parallel

1

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

fp8

SGLang quant

—

GPU mem util

0.92

Max running seqs

128

Scheduler delay

—

Num parallel

—

Concurrency

128

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q359-if8-tp1-m0-c128 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q359-if8-tp1-m0-c128/session:/bench -e ZE_AFFINITY_MASK=0 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.5-9B --host 0.0.0.0 --served-model-name q359 --tensor-parallel-size 1 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 128 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization fp8 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q359-if8-tp1-m0-c128 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 128 requests sent at once (batch 128, lmx --concurrency 128); 1587.5 tok/s is the aggregate decode rate across all 128 streams, about 12.4 tok/s per stream, and the 4789 ms time to first token is under that load. Setup: KASA B65 rig, 1 x Intel Arc Pro B65, one card; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 128, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 128: 1585.1, 1588.5, 1587.5 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q359-if8-tp1-m0-c128, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

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Submitted

Oct 16, 2026, 5:20 PM

Last edited

—

Qwen3.5-9B

9B · Qwen

Intel Arc Pro B65 32GB ×4
vllmBF163,63278.47,9123,899 ms0k
Show all details for Qwen3.5-9B

Model

Qwen/Qwen3.5-9B

Display name

Qwen3.5-9B

Base model

Qwen3.5-9B-Base

Revision

c202236235762e1c871ad0ccb60c8ee5ba337b9a

Family

Qwen

Parameters

9B

Active params

—

MoE

no

Output

3,632 tok/s

Prefill

78.4 tok/s

Total

7,912 tok/s

TTFT

3,899 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×4

GPU slots

—

GPU count

4

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

BF16

Backend

xpu

Tensor parallel

4

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.92

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q359-u-tp4dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q359-u-tp4dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2\,3 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3.5-9B --host 0.0.0.0 --served-model-name q359 --tensor-parallel-size 4 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype bfloat16 --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q359-u-tp4dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2\,3 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 3632.4 tok/s is the aggregate decode rate across all 256 streams, about 14.2 tok/s per stream, and the 3899 ms time to first token is under that load. Setup: KASA B65 rig, 4 x Intel Arc Pro B65, tensor parallel across 4 cards; vLLM 0.32.0rc1.dev100+g77154ca61 (vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 3634.1, 3621.9, 3632.4 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q359-u-tp4dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:20 PM

Last edited

—

Qwen3.5-9B

9B · Qwen

Intel Arc Pro B65 32GB ×3
vllmBF161,52390.23,3213,386 ms0k
Show all details for Qwen3.5-9B

Model

Qwen/Qwen3.5-9B

Display name

Qwen3.5-9B

Base model

Qwen3.5-9B-Base

Revision

c202236235762e1c871ad0ccb60c8ee5ba337b9a

Family

Qwen

Parameters

9B

Active params

—

MoE

no

Output

1,523 tok/s

Prefill

90.2 tok/s

Total

3,321 tok/s

TTFT

3,386 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

192

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×3

GPU slots

—

GPU count

3

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

BF16

Backend

xpu

Tensor parallel

1

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.92

Max running seqs

64

Scheduler delay

—

Num parallel

—

Concurrency

192

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q359-u-tp1dp3-m0-c192 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q359-u-tp1dp3-m0-c192/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3.5-9B --host 0.0.0.0 --served-model-name q359 --tensor-parallel-size 1 --pipeline-parallel-size 1 --data-parallel-size 3 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 64 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype bfloat16 --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q359-u-tp1dp3-m0-c192 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 3 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 192 requests sent at once (batch 192, lmx --concurrency 192); 1522.8 tok/s is the aggregate decode rate across all 192 streams, about 7.9 tok/s per stream, and the 3386 ms time to first token is under that load. Setup: KASA B65 rig, 3 x Intel Arc Pro B65, 3 engine replicas (data parallel), 1 card each; vLLM 0.32.0rc1.dev100+g77154ca61 (vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989); max_num_seqs 64 per replica, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 192: 1528.7, 1515.4, 1522.8 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q359-u-tp1dp3-m0-c192, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

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Submitted

Oct 16, 2026, 5:20 PM

Last edited

—

Qwen3.5-9B

9B · Qwen

Intel Arc Pro B65 32GB ×2
vllmBF162,50660.55,4615,006 ms0k
Show all details for Qwen3.5-9B

Model

Qwen/Qwen3.5-9B

Display name

Qwen3.5-9B

Base model

Qwen3.5-9B-Base

Revision

c202236235762e1c871ad0ccb60c8ee5ba337b9a

Family

Qwen

Parameters

9B

Active params

—

MoE

no

Output

2,506 tok/s

Prefill

60.5 tok/s

Total

5,461 tok/s

TTFT

5,006 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×2

GPU slots

—

GPU count

2

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

BF16

Backend

xpu

Tensor parallel

2

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.92

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q359-u-tp2dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q359-u-tp2dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3.5-9B --host 0.0.0.0 --served-model-name q359 --tensor-parallel-size 2 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype bfloat16 --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q359-u-tp2dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 2506 tok/s is the aggregate decode rate across all 256 streams, about 9.8 tok/s per stream, and the 5006 ms time to first token is under that load. Setup: KASA B65 rig, 2 x Intel Arc Pro B65, tensor parallel across 2 cards; vLLM 0.32.0rc1.dev100+g77154ca61 (vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 2506.6, 2506, 2505.9 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q359-u-tp2dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 5:20 PM

Last edited

—

Qwen3.5-9B

9B · Qwen

Intel Arc Pro B65 32GB
vllmBF161,49763.63,2554,798 ms0k
Show all details for Qwen3.5-9B

Model

Qwen/Qwen3.5-9B

Display name

Qwen3.5-9B

Base model

Qwen3.5-9B-Base

Revision

c202236235762e1c871ad0ccb60c8ee5ba337b9a

Family

Qwen

Parameters

9B

Active params

—

MoE

no

Output

1,497 tok/s

Prefill

63.6 tok/s

Total

3,255 tok/s

TTFT

4,798 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

128

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

BF16

Backend

xpu

Tensor parallel

1

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.92

Max running seqs

128

Scheduler delay

—

Num parallel

—

Concurrency

128

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q359-u-tp1-m0-c128 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q359-u-tp1-m0-c128/session:/bench -e ZE_AFFINITY_MASK=0 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3.5-9B --host 0.0.0.0 --served-model-name q359 --tensor-parallel-size 1 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 128 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype bfloat16 --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q359-u-tp1-m0-c128 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 128 requests sent at once (batch 128, lmx --concurrency 128); 1496.6 tok/s is the aggregate decode rate across all 128 streams, about 11.7 tok/s per stream, and the 4798 ms time to first token is under that load. Setup: KASA B65 rig, 1 x Intel Arc Pro B65, one card; vLLM 0.32.0rc1.dev100+g77154ca61 (vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989); max_num_seqs 128, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 128: 1496.6, 1496.7, 1491.9 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q359-u-tp1-m0-c128, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

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Submitted

Oct 16, 2026, 5:20 PM

Last edited

—

Qwen3.6-27B

27B · Qwen

Intel Arc Pro B65 32GB ×4
vllmINT41,38029.43,00810,293 ms0k
Show all details for Qwen3.6-27B

Model

Qwen/Qwen3.6-27B

Display name

Qwen3.6-27B

Base model

—

Revision

6a9e13bd6fc8f0983b9b99948120bc37f49c13e9

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

1,380 tok/s

Prefill

29.4 tok/s

Total

3,008 tok/s

TTFT

10,293 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×4

GPU slots

—

GPU count

4

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

INT4

Backend

xpu

Tensor parallel

4

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

sym_int4

SGLang quant

—

GPU mem util

0.92

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36d-iq4-tp4dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36d-iq4-tp4dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2\,3 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.6-27B --host 0.0.0.0 --served-model-name q36d --tensor-parallel-size 4 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization sym_int4 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36d-iq4-tp4dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2\,3 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 1379.8 tok/s is the aggregate decode rate across all 256 streams, about 5.4 tok/s per stream, and the 10293 ms time to first token is under that load. Setup: KASA B65 rig, 4 x Intel Arc Pro B65, tensor parallel across 4 cards; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 1379.8, 1379.1, 1379.8 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36d-iq4-tp4dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

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Submitted

Oct 16, 2026, 2:05 PM

Last edited

—

Qwen3.6-27B

27B · Qwen

Intel Arc Pro B65 32GB ×3
vllmINT452625.51,14611,902 ms0k
Show all details for Qwen3.6-27B

Model

Qwen/Qwen3.6-27B

Display name

Qwen3.6-27B

Base model

—

Revision

6a9e13bd6fc8f0983b9b99948120bc37f49c13e9

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

526 tok/s

Prefill

25.5 tok/s

Total

1,146 tok/s

TTFT

11,902 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

192

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×3

GPU slots

—

GPU count

3

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

INT4

Backend

xpu

Tensor parallel

1

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

sym_int4

SGLang quant

—

GPU mem util

0.92

Max running seqs

64

Scheduler delay

—

Num parallel

—

Concurrency

192

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36d-iq4-tp1dp3-m0-c192 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36d-iq4-tp1dp3-m0-c192/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.6-27B --host 0.0.0.0 --served-model-name q36d --tensor-parallel-size 1 --pipeline-parallel-size 1 --data-parallel-size 3 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 64 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization sym_int4 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36d-iq4-tp1dp3-m0-c192 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 3 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 192 requests sent at once (batch 192, lmx --concurrency 192); 525.7 tok/s is the aggregate decode rate across all 192 streams, about 2.7 tok/s per stream, and the 11902 ms time to first token is under that load. Setup: KASA B65 rig, 3 x Intel Arc Pro B65, 3 engine replicas (data parallel), 1 card each; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 64 per replica, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 192: 526.3, 525.7, 462.7 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36d-iq4-tp1dp3-m0-c192, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 2:04 PM

Last edited

—

Qwen3.6-27B

27B · Qwen

Intel Arc Pro B65 32GB ×2
vllmINT483818.11,82816,716 ms0k
Show all details for Qwen3.6-27B

Model

Qwen/Qwen3.6-27B

Display name

Qwen3.6-27B

Base model

—

Revision

6a9e13bd6fc8f0983b9b99948120bc37f49c13e9

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

838 tok/s

Prefill

18.1 tok/s

Total

1,828 tok/s

TTFT

16,716 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×2

GPU slots

—

GPU count

2

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

INT4

Backend

xpu

Tensor parallel

2

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

sym_int4

SGLang quant

—

GPU mem util

0.92

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36d-iq4-tp2dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36d-iq4-tp2dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.6-27B --host 0.0.0.0 --served-model-name q36d --tensor-parallel-size 2 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization sym_int4 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36d-iq4-tp2dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 837.9 tok/s is the aggregate decode rate across all 256 streams, about 3.3 tok/s per stream, and the 16716 ms time to first token is under that load. Setup: KASA B65 rig, 2 x Intel Arc Pro B65, tensor parallel across 2 cards; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 838.3, 837.8, 837.9 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36d-iq4-tp2dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

—

Submitted

Oct 16, 2026, 2:04 PM

Last edited

—

Qwen3.8-27B-W4A16-AutoRound

27B · Qwen

Intel Arc Pro B65 32GB ×4
vllmINT4_W4A161722,612375134 ms0k
Show all details for Qwen3.8-27B-W4A16-AutoRound

Model

dbirks/Qwen3.8-27B-W4A16-AutoRound

Display name

Qwen3.8-27B-W4A16-AutoRound

Base model

Qwen3.8-27B

Revision

1f05c441c4e64ae0549de44fa9ea5a6d43610314

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

172 tok/s

Prefill

2,612 tok/s

Total

375 tok/s

TTFT

134 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

349

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×4

GPU slots

—

GPU count

4

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

INT4_W4A16

Backend

xpu

Tensor parallel

4

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.9

Max running seqs

4

Scheduler delay

—

Num parallel

—

Concurrency

1

Spec decoding

yes

Spec method

MTP

Spec model

—

Spec draft model

—

Spec tokens

5

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

yes

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q38d-u-tp4-m5 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q38d-u-tp4-m5/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2\,3 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=1 -e DISABLE_ESIMD_INT4=1 -e DISABLE_ESIMD_INT4_GEMM=1 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3.8-27B-W4A16-AutoRound-dbirks --host 0.0.0.0 --served-model-name q38d --tensor-parallel-size 4 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.9 --max-model-len 4096 --max-num-seqs 4 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --speculative-config \{\"method\":\"qwen3_5_mtp\"\,\"num_speculative_tokens\":5\} --cpu-offload-gb 0 --port 8000

Extra flags

--speculative-config \{\method\:\qwen3_5_mtp\\,\num_speculative_tokens\:5\} --rm --d --name lsv-q38d-u-tp4-m5 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2\,3 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=1 --e DISABLE_ESIMD_INT4=1 --e DISABLE_ESIMD_INT4_GEMM=1 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

KASA B65 rig. Config q38d-u-tp4-m5 served by kasa-testing scripts/bench serve.sh after its correctness gate. Canonical reasoning-v1, lmx single-shot requests after one discarded warm-up. Measured requests: 172.2, 162.9, 172.3 tok/s; this is the median (declared rule, tie to the earlier). Prompt/output samples, engineTimingsRaw and MTP counts were added from the lmx run file and exact per-request vLLM /metrics deltas, because lmx does not send them.

Reactions

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Submitted

Oct 16, 2026, 1:50 PM

Last edited

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Qwen3.8-27B-W4A16-AutoRound

27B · Qwen

Intel Arc Pro B65 32GB ×2
vllmINT4_W4A161111,867243185 ms0k
Show all details for Qwen3.8-27B-W4A16-AutoRound

Model

dbirks/Qwen3.8-27B-W4A16-AutoRound

Display name

Qwen3.8-27B-W4A16-AutoRound

Base model

Qwen3.8-27B

Revision

1f05c441c4e64ae0549de44fa9ea5a6d43610314

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

111 tok/s

Prefill

1,867 tok/s

Total

243 tok/s

TTFT

185 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

346

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×2

GPU slots

—

GPU count

2

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

INT4_W4A16

Backend

xpu

Tensor parallel

2

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.9

Max running seqs

4

Scheduler delay

—

Num parallel

—

Concurrency

1

Spec decoding

yes

Spec method

MTP

Spec model

—

Spec draft model

—

Spec tokens

5

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

yes

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q38d-u-tp2-m5 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q38d-u-tp2-m5/session:/bench -e ZE_AFFINITY_MASK=0\,1 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=1 -e DISABLE_ESIMD_INT4=1 -e DISABLE_ESIMD_INT4_GEMM=1 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3.8-27B-W4A16-AutoRound-dbirks --host 0.0.0.0 --served-model-name q38d --tensor-parallel-size 2 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.9 --max-model-len 4096 --max-num-seqs 4 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --speculative-config \{\"method\":\"qwen3_5_mtp\"\,\"num_speculative_tokens\":5\} --cpu-offload-gb 0 --port 8000

Extra flags

--speculative-config \{\method\:\qwen3_5_mtp\\,\num_speculative_tokens\:5\} --rm --d --name lsv-q38d-u-tp2-m5 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=1 --e DISABLE_ESIMD_INT4=1 --e DISABLE_ESIMD_INT4_GEMM=1 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

KASA B65 rig. Config q38d-u-tp2-m5 served by kasa-testing scripts/bench serve.sh after its correctness gate. Canonical reasoning-v1, lmx single-shot requests after one discarded warm-up. Measured requests: 111.4, 105.2, 111.4 tok/s; this is the median (declared rule, tie to the earlier). Prompt/output samples, engineTimingsRaw and MTP counts were added from the lmx run file and exact per-request vLLM /metrics deltas, because lmx does not send them.

Reactions

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Submitted

Oct 16, 2026, 1:50 PM

Last edited

—

Qwen3.8-27B-W4A16-AutoRound

27B · Qwen

Intel Arc Pro B65 32GB
vllmINT4_W4A1675.41,229165284 ms0k
Show all details for Qwen3.8-27B-W4A16-AutoRound

Model

dbirks/Qwen3.8-27B-W4A16-AutoRound

Display name

Qwen3.8-27B-W4A16-AutoRound

Base model

Qwen3.8-27B

Revision

1f05c441c4e64ae0549de44fa9ea5a6d43610314

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

75.4 tok/s

Prefill

1,229 tok/s

Total

165 tok/s

TTFT

284 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

349

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

INT4_W4A16

Backend

xpu

Tensor parallel

1

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.92

Max running seqs

4

Scheduler delay

—

Num parallel

—

Concurrency

1

Spec decoding

yes

Spec method

MTP

Spec model

—

Spec draft model

—

Spec tokens

5

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

yes

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q38d-u-tp1-m5 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q38d-u-tp1-m5/session:/bench -e ZE_AFFINITY_MASK=0 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=1 -e DISABLE_ESIMD_INT4=1 -e DISABLE_ESIMD_INT4_GEMM=1 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3.8-27B-W4A16-AutoRound-dbirks --host 0.0.0.0 --served-model-name q38d --tensor-parallel-size 1 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 4 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --speculative-config \{\"method\":\"qwen3_5_mtp\"\,\"num_speculative_tokens\":5\} --cpu-offload-gb 0 --port 8000

Extra flags

--speculative-config \{\method\:\qwen3_5_mtp\\,\num_speculative_tokens\:5\} --rm --d --name lsv-q38d-u-tp1-m5 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=1 --e DISABLE_ESIMD_INT4=1 --e DISABLE_ESIMD_INT4_GEMM=1 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

KASA B65 rig. Config q38d-u-tp1-m5 served by kasa-testing scripts/bench serve.sh after its correctness gate. Canonical reasoning-v1, lmx single-shot requests after one discarded warm-up. Measured requests: 75.4, 74, 79.8 tok/s; this is the median (declared rule, tie to the earlier). Prompt/output samples, engineTimingsRaw and MTP counts were added from the lmx run file and exact per-request vLLM /metrics deltas, because lmx does not send them.

Reactions

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Submitted

Oct 16, 2026, 1:50 PM

Last edited

—

Qwen3.6-27B

27B · Qwen

Intel Arc Pro B65 32GB
vllmINT423219.450715,668 ms0k
Show all details for Qwen3.6-27B

Model

Qwen/Qwen3.6-27B

Display name

Qwen3.6-27B

Base model

—

Revision

6a9e13bd6fc8f0983b9b99948120bc37f49c13e9

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

232 tok/s

Prefill

19.4 tok/s

Total

507 tok/s

TTFT

15,668 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

128

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.31.0+xpu.llmscaler

Quantization

INT4

Backend

xpu

Tensor parallel

1

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

sym_int4

SGLang quant

—

GPU mem util

0.92

Max running seqs

128

Scheduler delay

—

Num parallel

—

Concurrency

128

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36d-iq4-tp1-m0-c128 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36d-iq4-tp1-m0-c128/session:/bench -e ZE_AFFINITY_MASK=0 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm intel/llm-scaler-vllm:0.31.0-b1-experimental@sha256:a397e04d66494637862b1927ee92ab4dd8b2f03f0dc9d359ec9536959a88e704 serve --model /llm/models/Qwen3.6-27B --host 0.0.0.0 --served-model-name q36d --tensor-parallel-size 1 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.92 --max-model-len 4096 --max-num-seqs 128 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype float16 --quantization sym_int4 --compilation-config \{\"cudagraph_mode\":\"FULL_DECODE_ONLY\"\,\"mode\":0\} --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36d-iq4-tp1-m0-c128 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --compilation-config \{\cudagraph_mode\:\FULL_DECODE_ONLY\\,\mode\:0\} --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 128 requests sent at once (batch 128, lmx --concurrency 128); 232.3 tok/s is the aggregate decode rate across all 128 streams, about 1.8 tok/s per stream, and the 15668 ms time to first token is under that load. Setup: KASA B65 rig, 1 x Intel Arc Pro B65, one card; vLLM 0.31.0+xpu.llmscaler (intel/llm-scaler-vllm:0.31.0-b1-experimental); max_num_seqs 128, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 128: 232.4, 232.1, 232.3 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36d-iq4-tp1-m0-c128, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

Reactions

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Submitted

Oct 16, 2026, 1:47 PM

Last edited

—

Qwen3.6-27B

27B · Qwen

Intel Arc Pro B65 32GB ×4
vllmBF161,34029.82,92110,178 ms0k
Show all details for Qwen3.6-27B

Model

Qwen/Qwen3.6-27B

Display name

Qwen3.6-27B

Base model

—

Revision

6a9e13bd6fc8f0983b9b99948120bc37f49c13e9

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

1,340 tok/s

Prefill

29.8 tok/s

Total

2,921 tok/s

TTFT

10,178 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

304

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

256

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×4

GPU slots

—

GPU count

4

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

BF16

Backend

xpu

Tensor parallel

4

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.95

Max running seqs

256

Scheduler delay

—

Num parallel

—

Concurrency

256

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q36d-u-tp4dp1-m0-c256 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q36d-u-tp4dp1-m0-c256/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2\,3 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3.6-27B --host 0.0.0.0 --served-model-name q36d --tensor-parallel-size 4 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.95 --max-model-len 4096 --max-num-seqs 256 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype float16 --dtype bfloat16 --no-enable-prefix-caching --trust-remote-code --limit-mm-per-prompt \{\"image\":0\,\"video\":0\} --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q36d-u-tp4dp1-m0-c256 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2\,3 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype float16 --no-enable-prefix-caching --limit-mm-per-prompt \{\image\:0\,\video\:0\}

Notes

CONCURRENCY TEST, NOT A SINGLE-USER RESULT. 256 requests sent at once (batch 256, lmx --concurrency 256); 1339.9 tok/s is the aggregate decode rate across all 256 streams, about 5.2 tok/s per stream, and the 10178 ms time to first token is under that load. Setup: KASA B65 rig, 4 x Intel Arc Pro B65, tensor parallel across 4 cards; vLLM 0.32.0rc1.dev100+g77154ca61 (vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989); max_num_seqs 256, max_model_len 4096; speculative decoding off. Each request: LocalMaxxing's canonical reasoning-v1 prompt (304 tokens) with a unique nonce, 256 output tokens, temperature 0. One discarded warm-up batch, then 3 measured batches of 256: 1339.9, 1339.7, 1339.9 tok/s; this is the median. Not eligible for the Verified badge, which requires batch 1. Config q36d-u-tp4dp1-m0-c256, kasa-testing campaign 2026-10-15-b65-localmaxxing-models.

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Submitted

Oct 16, 2026, 1:47 PM

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Qwen3-4B

4B · Qwen

Intel Arc Pro B65 32GB ×4
vllmBF161246,94626442.9 ms0k
Show all details for Qwen3-4B

Model

Qwen/Qwen3-4B

Display name

Qwen3-4B

Base model

Qwen3-4B-Base

Revision

1cfa9a7208912126459214e8b04321603b3df60c

Family

Qwen

Parameters

4B

Active params

—

MoE

no

Output

124 tok/s

Prefill

6,946 tok/s

Total

264 tok/s

TTFT

42.9 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

298

Output tokens

256

Prefill tokens

0

Context length

4096

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B65 32GB ×4

GPU slots

—

GPU count

4

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD EPYC 7343 16-Core Processor

RAM

499GB

OS

Ubuntu 26.04.1 LTS

Power

—

Engine

vllm

Engine version

0.32.0rc1.dev100+g77154ca61

Quantization

BF16

Backend

xpu

Tensor parallel

4

Pipeline parallel

1

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

0GB

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.9

Max running seqs

4

Scheduler delay

—

Num parallel

—

Concurrency

1

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

docker run --rm -d --name lsv-q34-u-tp4-m0 --net=host --shm-size=32g --device /dev/dri:/dev/dri -v /dev/dri:/dev/dri -v /models/weights:/llm/models:ro -v /models/bench/lmx-models-s12a/arms/q34-u-tp4-m0/session:/bench -e ZE_AFFINITY_MASK=0\,1\,2\,3 -e VLLM_XPU_ENABLE_XPU_GRAPH=1 -e DISABLE_ESIMD_GDN_OUTPROJ=0 -e DISABLE_ESIMD_INT4=0 -e DISABLE_ESIMD_INT4_GEMM=0 -e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 -e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm vllm/vllm-openai-xpu:nightly-77154ca6116ae34cbfe314beef1016bde9b63989@sha256:a410323607625d551d370253e4c5e1a038bbdf8ba2535c2a30bdf5ac531fc4f4 serve --model /llm/models/Qwen3-4B --host 0.0.0.0 --served-model-name q34 --tensor-parallel-size 4 --pipeline-parallel-size 1 --data-parallel-size 1 --gpu-memory-utilization 0.9 --max-model-len 4096 --max-num-seqs 4 --max-num-batched-tokens 8192 --block-size 64 --kv-cache-dtype auto --mamba-ssm-cache-dtype auto --dtype bfloat16 --no-enable-prefix-caching --trust-remote-code --cpu-offload-gb 0 --port 8000

Extra flags

--rm --d --name lsv-q34-u-tp4-m0 --net host --shm-size 32g --e ZE_AFFINITY_MASK=0\,1\,2\,3 --e VLLM_XPU_ENABLE_XPU_GRAPH=1 --e DISABLE_ESIMD_GDN_OUTPROJ=0 --e DISABLE_ESIMD_INT4=0 --e DISABLE_ESIMD_INT4_GEMM=0 --e VLLM_OFFLOAD_WEIGHTS_BEFORE_QUANT=1 --e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 --e VLLM_WORKER_MULTIPROC_METHOD=spawn --e CCL_ZE_IPC_EXCHANGE=sockets --entrypoint vllm --data-parallel-size 1 --max-model-len 4096 --block-size 64 --mamba-ssm-cache-dtype auto --no-enable-prefix-caching

Notes

KASA B65 rig. Config q34-u-tp4-m0 served by kasa-testing scripts/bench serve.sh after its correctness gate. Canonical reasoning-v1, lmx single-shot requests after one discarded warm-up. Measured requests: 124.1, 124, 124 tok/s; this is the median (declared rule, tie to the earlier). Prompt/output samples, engineTimingsRaw and MTP counts were added from the lmx run file and exact per-request vLLM /metrics deltas, because lmx does not send them.

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Submitted

Oct 16, 2026, 1:47 PM

Last edited

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