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Can A100 80GB SXM4 run gemma-4-26B-A4B-it?

NVIDIA · 80 GB HBM2e · 2039 GB/s bandwidth · Google · 25.2B (active 3.8B) · MoE · model ctx up to 256K

Yes — the A100 80GB SXM4 (80 GB HBM2e) can run gemma-4-26B-A4B-it. At Q4 with the default 8K context it needs ≈ 15.62 GB VRAM (weights 13.86 GB + KV cache 0.76 GB + 1 GB runtime overhead), which fits within 80 GB. Decode at Q4/8K: ≈ 341.5 tok/s (estimated, batch 1). FP16 (≈ 52.16 GB) also fits, at ≈ 93.9 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)
Q44K15.24 GBYes341.5 est.
Q48K default15.62 GBYes341.5 est.
Q432K17.9 GBYes341.5 est.
FP164K51.78 GBYes93.9 est.
FP168K default52.16 GBYes93.9 est.
FP1632K54.44 GBYes93.9 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
Q413.86 GB0.76 GB1 GB15.62 GB80 GB
FP1650.4 GB0.76 GB1 GB52.16 GB80 GB

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