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Qwen3-30B-A3B · Q8_0

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NVIDIA RTX 509032GBvLLM 0.7.3L0 Self-reported

This page aggregates 1 real-world runs of Qwen3-30B-A3B (Q8_0) on NVIDIA RTX 5090 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

47 tok/s

Decode

Decode speed

352.5 tok/s

Prefill

Prefill speed

0.28 s

TTFT

Time to first token

32 GB

VRAM

VRAM usage

L0 Self-reported

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. vLLM · Q8_0 (current)Decode 47 · Prefill 352.5 ·
  2. vLLM · Q5_K_M Decode 68.3 · Prefill 512.3 ·
  3. vLLM · Q4_K_M Decode 83.7 · Prefill 627.8 ·
  4. llama.cpp · Q8_0 Decode 43.1 · Prefill 323.3 ·
  5. llama.cpp · Q5_K_M Decode 62.7 · Prefill 470.3 ·
  6. llama.cpp · Q4_K_M Decode 76.8 · Prefill 576 ·

Core figures

Decode (avg)
47 tok/s
Prefill (avg)
352.5 tok/s
TTFT (avg)
0.28 s
VRAM (avg)
32 GB
MTP acceptance rate
—
TTFB
— GB
Power draw
— W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-30B-A3B
Quantization
Q8_0
Framework
vLLM
Version
0.7.3
Context length
4096 tokens
Batch size
512
GPU layers
99
Flash Attention
On

Hardware

Nominal and measured figures are shown side by side; whether it runs is the reader's call

GPU
NVIDIA RTX 5090
Nominal VRAM
32 GB
Measured VRAM (avg)
32 GB
OS
Linux
Driver
570.65
CUDA
12.6

Sources & evidence

1 measured records in total, each traceable to its original source

  1. L0 Self-reportedOtherOriginal link Verified on 2026-10-06

    0.7.3 · Linux · CUDA 12.6 · 4096 ctx

    47 tok/s

    Decode

    352.5 tok/s

    Prefill

    0.28 s

    TTFT

    32 GB

    VRAM

    —

    MTP

    — W

    Power draw

    L0 理论估算（add-1000-records-batch3）