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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
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. KV cache: fp8
# 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 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 context1,8594,430 ms TTFT
16K context1,7949,069 ms TTFT
32K context1,65519,542 ms TTFT
56K context1,47438,287 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
047.287 ms TTFT87.5151 ms TTFT168.6287 ms TTFT328.0544 ms TTFTOver capacityOver capacityOver capacityOver capacity
16K45.6393 ms TTFT84.0586 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
32K44.4728 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
56K42.71,400 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
Prefill8K1Valid1,859.0—4,430 ms——1——
Prefill16K1Valid1,794.0—9,069 ms——1——
Prefill32K1Valid1,655.0—19,542 ms——1——
Prefill56K1Valid1,474.0—38,287 ms——1——
Sustained decode01Valid47.247.287 ms21.2 ms1.001,41530.0 s
Sustained decode02Valid87.543.8151 ms22.8 ms2.002,62430.0 s
Sustained decode04Valid168.642.2287 ms23.7 ms4.005,05630.0 s
Sustained decode08Valid328.041.1544 ms24.3 ms8.009,84030.0 s
Sustained decode016Over capacity————————
Sustained decode032Over capacity————————
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Valid45.645.6393 ms21.9 ms1.001,36830.0 s
Sustained decode16K2Valid84.041.8586 ms23.9 ms2.002,51830.0 s
Sustained decode16K4Over capacity————————
Sustained decode16K8Over capacity————————
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode32K1Valid44.444.4728 ms22.5 ms1.001,33230.0 s
Sustained decode32K2Over capacity————————
Sustained decode32K4Over capacity————————
Sustained decode32K8Over capacity————————
Sustained decode32K16Over capacity————————
Sustained decode32K32Over capacity————————
Sustained decode32K64Over capacity————————
Sustained decode32K128Over capacity————————
Sustained decode56K1Valid42.742.71,400 ms23.4 ms1.001,28130.0 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.