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Speed test matrix

Qwen3-14B-FP8 on RTX 3090 24GB

vllm · 0.32.0 · FP83 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
Intel Core i7-9700K (8C)
RAM
32 GB
OS
Ubuntu 24.04.5

Engine

Engine
vllm
Version
0.32.0
Quantization
FP8
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 Qwen/Qwen3-14B-FP8 --max-model-len 40960 --gpu-memory-utilization 0.94 --max-num-seqs 128 --enable-prefix-caching --trust-remote-code  --kv-cache-dtype fp8

Prefill

prompt tok/s by context length
8K context3,2902,509 ms TTFT
16K context3,0165,420 ms TTFT
32K context2,57012,663 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
052.848 ms TTFT104.539 ms TTFT205.653 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacity
16K48.864 ms TTFT96.391 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
32K45.3104 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
Prefill8K1Valid3,290.0—2,509 ms——1——
Prefill16K1Valid3,016.0—5,420 ms——1——
Prefill32K1Valid2,570.0—12,663 ms——1——
Sustained decode01Valid52.852.848 ms18.9 ms1.001,58230.0 s
Sustained decode02Valid104.552.339 ms19.1 ms2.003,13430.0 s
Sustained decode04Valid205.651.653 ms19.4 ms4.006,16830.0 s
Sustained decode08Over capacity————————
Sustained decode016Over capacity————————
Sustained decode032Over capacity————————
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Valid48.848.864 ms20.5 ms1.001,46230.0 s
Sustained decode16K2Valid96.348.291 ms20.7 ms2.002,89030.0 s
Sustained decode16K4Over capacity————————
Sustained decode16K8Over capacity————————
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode32K1Valid45.345.4104 ms22.0 ms1.001,35930.0 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.