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gemma-4-31B-it · Q8_0

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NVIDIA H2097GBOllama v0.33L2 Cross-framework verified

This page aggregates 1 real-world runs of gemma-4-31B-it (Q8_0) on NVIDIA H20 with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

18.96 tok/s

Decode

Decode speed

65.76 tok/s

Prefill

Prefill speed

1.01 s

TTFT

Time to first token

76.97 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

16 days ago

Last verified

Performance

  1. vLLM · IQ3_XS Decode 39.95 · Prefill 179.27 ·
  2. vLLM · Q4_K_S Decode 32.57 · Prefill 141.17 ·
  3. Ollama · Q8_0 (current)Decode 18.96 · Prefill 65.76 ·

Core figures

Decode (avg)
18.96 tok/s
Prefill (avg)
65.76 tok/s
TTFT (avg)
1.01 s
VRAM (avg)
76.97 GB
MTP acceptance rate
—
TTFB
0.15 GB
Power draw
339.5 W

Configuration

Member-level fields are taken from the most recent run

Model
gemma-4-31B-it
Quantization
Q8_0
Framework
Ollama
Version
v0.33
Context length
8192 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 H20
Nominal VRAM
97 GB
Measured VRAM (avg)
76.97 GB
OS
Ubuntu 22.04
Driver
560.94
CUDA
12.8
Power draw
339.5 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-19

    v0.33 · Ubuntu 22.04 · CUDA 12.8 · 8192 ctx

    18.96 tok/s

    Decode

    65.76 tok/s

    Prefill

    1.01 s

    TTFT

    76.97 GB

    VRAM

    —

    MTP

    339.5 W

    Power draw

    L2 batch seed 2026-10-19: Ollama on hw_id=56 running model_id=63 at Q8_0