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Speed test matrix

Qwen3-8B-FP8 on CMP 170HX 64GB

vllm · 0.32.0rc1.dev249+g18305948a · FP83 contexts (0–32K) × 8 concurrency levels (1–128) · prefill at 8K, 16K, 32K
by @Sandbergllm-inference-bench v0.8.0Measured

Hardware

Type
Discrete GPU
GPU
CMP 170HX
VRAM
64 GB
CPU
2x Intel Xeon E5-2630 v3
RAM
64 GB
OS
Ubuntu 26.04.1

Engine

Engine
vllm
Version
0.32.0rc1.dev249+g18305948a
Quantization
FP8
Backend
cuda
Build
ghcr.io/morrowmake/vllm-cmp170hx@sha256:5b45c4d6feafefe2eba962375b0a9a0b64fd22b9e05abb4d1966f14a32a2db79

Run

Served model
bench
Revision
main
Decode test
Fixed duration
Prefill mode
Measured during decode warm-up
Time per measurement
30 s
Max output
8,192 tokens

Launch command

# Untuned out-of-the-box baseline. Spec decode: none
# 1x NVIDIA CMP 170HX 64GB (cmpunlocker), 180 W limit, PCIe Gen2 x4 | 2x Intel Xeon E5-2630 v3 | 64 GB DDR4 | Ubuntu 26.04.1, NVIDIA driver 610.57.04 | vLLM: Morrowmake vllm-cmp170hx image
vllm serve Qwen/Qwen3-8B-FP8 --max-model-len 40960 --gpu-memory-utilization 0.94 --max-num-seqs 128 --enable-prefix-caching --trust-remote-code

Prefill

prompt tok/s by context length
8K context5,5671,474 ms TTFT
16K context4,9263,298 ms TTFT
32K context4,1127,864 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
0107.856 ms TTFT205.499 ms TTFT390.5107 ms TTFT711.8136 ms TTFT1,225.2201 ms TTFT1,889.2287 ms TTFTOver capacityOver capacity
16K88.9171 ms TTFT154.8222 ms TTFT246.6284 ms TTFTLoopedOver capacityOver capacityOver capacityOver capacity
32K75.5247 ms TTFTLoopedLooped221.2770 ms TTFTOver capacityOver capacityOver capacityOver capacity

Looped: the model kept repeating the same text, so the benchmark discarded this measurement. Over capacity: not run because this many requests at this context would exceed the server's KV cache.

TTFT is measured after the benchmark warms the server's prompt cache, so it mostly excludes prefill.

All measurements

Latencies are medians. Total tok/s is output across all simultaneous requests.
PhaseContextRequests at onceStatusTotal tok/sPer request tok/sTTFTTime between tokensAverage active requestsCompleted requestsOutput tokensMeasured for
Prefill8K1Valid5,567.0—1,474 ms——1——
Prefill16K1Valid4,926.0—3,298 ms——1——
Prefill32K1Valid4,112.0—7,864 ms——1——
Sustained decode01Valid107.8108.556 ms9.2 ms1.003,23230.0 s
Sustained decode02Valid205.4103.899 ms9.6 ms2.006,16230.0 s
Sustained decode04Valid390.599.3107 ms10.1 ms4.0011,71230.0 s
Sustained decode08Valid711.891.4136 ms10.9 ms8.0021,36830.0 s
Sustained decode016Valid1,225.280.2201 ms12.5 ms16.0036,75230.0 s
Sustained decode032Valid1,889.262.6287 ms16.0 ms32.0056,67230.0 s
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Valid88.989.2171 ms11.2 ms1.002,66730.0 s
Sustained decode16K2Valid154.877.7222 ms12.9 ms2.004,64230.0 s
Sustained decode16K4Valid246.661.9284 ms16.1 ms4.007,39630.0 s
Sustained decode16K8Looped—————00—
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode32K1Valid75.575.8247 ms13.2 ms1.002,26630.0 s
Sustained decode32K2Looped—————00—
Sustained decode32K4Looped—————00—
Sustained decode32K8Valid221.227.8770 ms36.0 ms8.006,63230.0 s
Sustained decode32K16Over capacity————————
Sustained decode32K32Over capacity————————
Sustained decode32K64Over capacity————————
Sustained decode32K128Over capacity————————

Looped: the model kept repeating the same text, so the benchmark discarded this measurement. Over capacity: not run because this many requests at this context would exceed the server's KV cache.