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Speed test matrix

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

vllm · 0.32.0 · INT4 W4A16 g1283 contexts (0–24K) × 8 concurrency levels (1–128) · prefill at 8K, 16K, 24K
by @Sandbergllm-inference-bench v0.8.0Measured

Hardware

Type
Discrete GPU
GPU
RTX 3090
VRAM
24 GB
CPU
AMD Ryzen 9 7900X (12C)
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
# 1x RTX 3090 24GB (Zagitta/gpu-unlock), 350 W limit (VBIOS max), PCIe Gen4 x16 | AMD Ryzen 9 7900X 12C | 32 GB DDR5 | Ubuntu 24.04.5, NVIDIA driver 595.99.02
vllm serve RedHatAI/Qwen3.8-27B-INT4 --max-model-len 32768 --gpu-memory-utilization 0.94 --max-num-seqs 54 --enable-prefix-caching --trust-remote-code --language-model-only --max-cudagraph-capture-size 16

Prefill

prompt tok/s by context length
8K context1,8454,463 ms TTFT
16K context1,8029,028 ms TTFT
24K context1,76313,778 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
046.987 ms TTFT86.8142 ms TTFT167.0415 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacity
16K44.3379 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
24K43.1524 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
Prefill8K1Valid1,845.0—4,463 ms——1——
Prefill16K1Valid1,802.0—9,028 ms——1——
Prefill24K1Valid1,763.0—13,778 ms——1——
Sustained decode01Valid46.946.987 ms21.3 ms1.001,40830.0 s
Sustained decode02Valid86.843.5142 ms23.0 ms2.002,60430.0 s
Sustained decode04Valid167.041.8415 ms23.9 ms4.005,00830.0 s
Sustained decode08Over capacity————————
Sustained decode016Over capacity————————
Sustained decode032Over capacity————————
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Valid44.344.3379 ms22.6 ms1.001,32830.0 s
Sustained decode16K2Over capacity————————
Sustained decode16K4Over capacity————————
Sustained decode16K8Over capacity————————
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode24K1Valid43.143.1524 ms23.2 ms1.001,29330.0 s
Sustained decode24K2Over capacity————————
Sustained decode24K4Over capacity————————
Sustained decode24K8Over capacity————————
Sustained decode24K16Over capacity————————
Sustained decode24K32Over capacity————————
Sustained decode24K64Over capacity————————
Sustained decode24K128Over capacity————————

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