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Speed test matrix

Qwen3-14B-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 Edited

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
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), 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 Qwen/Qwen3-14B-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 context3,7762,185 ms TTFT
16K context3,3504,879 ms TTFT
32K context2,73211,914 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
083.636 ms TTFT161.029 ms TTFT306.438 ms TTFT557.057 ms TTFTOver capacityOver capacityOver capacityOver capacity
16K66.684 ms TTFT112.196 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
32K55.5155 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
Prefill8K1Valid3,776.0—2,185 ms——1——
Prefill16K1Valid3,350.0—4,879 ms——1——
Prefill32K1Valid2,732.0—11,914 ms——1——
Sustained decode01Valid83.684.036 ms11.9 ms1.002,50830.0 s
Sustained decode02Valid161.081.229 ms12.3 ms2.004,82930.0 s
Sustained decode04Valid306.477.738 ms12.9 ms4.009,19230.0 s
Sustained decode08Valid557.071.357 ms14.0 ms8.0016,70430.0 s
Sustained decode016Over capacity————————
Sustained decode032Over capacity————————
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Valid66.666.784 ms15.0 ms1.001,99730.0 s
Sustained decode16K2Valid112.156.196 ms17.8 ms2.003,36230.0 s
Sustained decode16K4Over capacity————————
Sustained decode16K8Over capacity————————
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode32K1Valid55.555.6155 ms18.0 ms1.001,66430.0 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.