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Speed test matrix

Qwen3.8-27B-INT4 on RTX 3090 24GB

vllm · 0.32.0 · INT4 W4A16 g1284 contexts (0–56K) × 8 concurrency levels (1–128) · prefill at 8K, 16K, 32K, 56K
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
INT4 W4A16 g128
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: none. KV cache: fp8
# 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 RedHatAI/Qwen3.8-27B-INT4 --max-model-len 65536 --gpu-memory-utilization 0.94 --max-num-seqs 53 --enable-prefix-caching --trust-remote-code --language-model-only --kv-cache-dtype fp8 --max-cudagraph-capture-size 16

Prefill

prompt tok/s by context length
8K context2,1633,808 ms TTFT
16K context2,0397,978 ms TTFT
32K context1,87117,286 ms TTFT
56K context1,66433,908 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
048.285 ms TTFT89.4133 ms TTFT172.1283 ms TTFT329.4496 ms TTFTOver capacityOver capacityOver capacityOver capacity
16K46.6377 ms TTFT86.2562 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
32K45.3746 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
56K43.51,310 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
Prefill8K1Valid2,163.0—3,808 ms——1——
Prefill16K1Valid2,039.0—7,978 ms——1——
Prefill32K1Valid1,871.0—17,286 ms——1——
Prefill56K1Valid1,664.0—33,908 ms——1——
Sustained decode01Valid48.248.285 ms20.7 ms1.001,44530.0 s
Sustained decode02Valid89.444.7133 ms22.4 ms2.002,68230.0 s
Sustained decode04Valid172.143.1283 ms23.2 ms4.005,16430.0 s
Sustained decode08Valid329.441.3496 ms24.2 ms8.009,87830.0 s
Sustained decode016Over capacity————————
Sustained decode032Over capacity————————
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Valid46.646.6377 ms21.5 ms1.001,39730.0 s
Sustained decode16K2Valid86.242.9562 ms23.3 ms2.002,58430.0 s
Sustained decode16K4Over capacity————————
Sustained decode16K8Over capacity————————
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode32K1Valid45.345.3746 ms22.1 ms1.001,35830.0 s
Sustained decode32K2Over capacity————————
Sustained decode32K4Over capacity————————
Sustained decode32K8Over capacity————————
Sustained decode32K16Over capacity————————
Sustained decode32K32Over capacity————————
Sustained decode32K64Over capacity————————
Sustained decode32K128Over capacity————————
Sustained decode56K1Valid43.543.61,310 ms23.0 ms1.001,30530.0 s
Sustained decode56K2Over capacity————————
Sustained decode56K4Over capacity————————
Sustained decode56K8Over capacity————————
Sustained decode56K16Over capacity————————
Sustained decode56K32Over capacity————————
Sustained decode56K64Over capacity————————
Sustained decode56K128Over capacity————————

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