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Speed test matrix

Qwen3-8B-AWQ on RTX 3090 24GB

vllm · 0.32.0 · AWQ3 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
AMD Ryzen 9 7900X (12C)
RAM
32 GB
OS
Ubuntu 24.04.5

Engine

Engine
vllm
Version
0.32.0
Quantization
AWQ
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 Qwen/Qwen3-8B-AWQ --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 context5,7721,430 ms TTFT
16K context5,0143,261 ms TTFT
32K context3,8088,547 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
0123.125 ms TTFT231.618 ms TTFT427.027 ms TTFT737.338 ms TTFTOver capacityOver capacityOver capacityOver capacity
16K92.550 ms TTFT148.874 ms TTFT243.2115 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacity
32K74.288 ms TTFT108.8118 ms TTFTOver 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
Prefill8K1Valid5,772.0—1,430 ms——1——
Prefill16K1Valid5,014.0—3,261 ms——1——
Prefill32K1Valid3,808.0—8,547 ms——1——
Sustained decode01Valid123.1124.425 ms8.0 ms1.003,69330.0 s
Sustained decode02Valid231.6117.818 ms8.5 ms2.006,94830.0 s
Sustained decode04Valid427.0109.627 ms9.1 ms4.0012,80830.0 s
Sustained decode08Valid737.396.238 ms10.4 ms8.0022,11230.0 s
Sustained decode016Over capacity————————
Sustained decode032Over capacity————————
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Valid92.592.750 ms10.8 ms1.002,77530.0 s
Sustained decode16K2Valid148.874.774 ms13.4 ms2.004,46230.0 s
Sustained decode16K4Valid243.261.3115 ms16.3 ms4.007,29630.0 s
Sustained decode16K8Over capacity————————
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode32K1Valid74.274.488 ms13.4 ms1.002,22730.0 s
Sustained decode32K2Valid108.854.5118 ms18.3 ms2.003,26430.0 s
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.