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Speed test matrix

Tess-4-9B on RTX 3090 24GB

vllm · 0.32.0 · BF163 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
RTX 3090
VRAM
24 GB
CPU
Intel Core i7-9700K (8C)
RAM
32 GB
OS
Ubuntu 24.04.5

Engine

Engine
vllm
Version
0.32.0
Quantization
BF16
Backend
cuda
Build
vllm/vllm-openai:v0.32.0-x86_64

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: MTP, 2 tokens lookahead
# 1x RTX 3090 24GB (Zagitta/gpu-unlock), 420 W limit, PCIe Gen3 x16 | Intel Core i7-9700K 8C | 32 GB DDR4 | Ubuntu 24.04.5, NVIDIA driver 580.178.04
vllm serve migtissera/Tess-4-9B --max-model-len 40960 --gpu-memory-utilization 0.94 --max-num-seqs 102 --enable-prefix-caching --trust-remote-code --language-model-only --speculative-config {"method":"mtp","num_speculative_tokens":2}

Prefill

prompt tok/s by context length
8K context6,9191,183 ms TTFT
16K context6,6292,447 ms TTFT
32K context6,1015,292 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
063.738 ms TTFT131.276 ms TTFT258.496 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacity
16K52.5226 ms TTFT108.2305 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
32K46.7228 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity

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
Prefill8K1Valid6,919.0—1,183 ms——1——
Prefill16K1Valid6,629.0—2,447 ms——1——
Prefill32K1Valid6,101.0—5,292 ms——1——
Sustained decode01Valid63.765.138 ms15.4 ms1.001,91030.0 s
Sustained decode02Valid131.266.076 ms15.2 ms2.003,93530.0 s
Sustained decode04Valid258.464.796 ms15.5 ms4.007,74930.0 s
Sustained decode08Over capacity————————
Sustained decode016Over capacity————————
Sustained decode032Over capacity————————
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Valid52.553.2226 ms18.8 ms1.001,57530.0 s
Sustained decode16K2Valid108.254.1305 ms18.5 ms2.003,24330.0 s
Sustained decode16K4Over capacity————————
Sustained decode16K8Over capacity————————
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode32K1Valid46.746.9228 ms21.3 ms1.001,40130.0 s
Sustained decode32K2Over capacity————————
Sustained decode32K4Over capacity————————
Sustained decode32K8Over capacity————————
Sustained decode32K16Over capacity————————
Sustained decode32K32Over capacity————————
Sustained decode32K64Over capacity————————
Sustained decode32K128Over capacity————————

Over capacity: not run because this many requests at this context would exceed the server's KV cache.