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Can A100 80GB SXM4 run gemma-4-31B-it?

NVIDIA · 80 GB HBM2e · 2039 GB/s bandwidth · Google · 30.7B · model ctx up to 256K

Yes — the A100 80GB SXM4 (80 GB HBM2e) can run gemma-4-31B-it. At Q4 with the default 8K context it needs ≈ 24.03 GB VRAM (weights 16.89 GB + KV cache 6.14 GB + 1 GB runtime overhead), which fits within 80 GB. Decode at Q4/8K: ≈ 42.3 tok/s (estimated, batch 1). FP16 (≈ 68.54 GB) also fits, at ≈ 11.6 tok/s (estimated). Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K20.96 GBYes42.3 est.
Q48K default24.03 GBYes42.3 est.
Q432K42.45 GBYes42.3 est.
FP164K65.47 GBYes11.6 est.
FP168K default68.54 GBYes11.6 est.
FP1632K86.96 GBNo28.1 est.

Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).

VRAM breakdown at 8K context

QuantWeightsKV cacheOverheadTotal neededA100 80GB SXM4 VRAM
Q416.89 GB6.14 GB1 GB24.03 GB80 GB
FP1661.4 GB6.14 GB1 GB68.54 GB80 GB

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