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Can A100 80GB SXM4 run Qwen3-4B-Instruct-2507?

NVIDIA · 80 GB HBM2e · 2039 GB/s bandwidth · Alibaba · 4.0B · model ctx up to 256K

Yes — the A100 80GB SXM4 (80 GB HBM2e) can run Qwen3-4B-Instruct-2507. At Q4 with the default 8K context it needs ≈ 4.0 GB VRAM (weights 2.2 GB + KV cache 0.8 GB + 1 GB runtime overhead), which fits within 80 GB. Decode at Q4/8K: ≈ 324.4 tok/s (estimated, batch 1). FP16 (≈ 9.8 GB) also fits, at ≈ 89.2 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)
Q44K3.6 GBYes324.4 est.
Q48K default4.0 GBYes324.4 est.
Q432K6.4 GBYes324.4 est.
FP164K9.4 GBYes89.2 est.
FP168K default9.8 GBYes89.2 est.
FP1632K12.2 GBYes89.2 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
Q42.2 GB0.8 GB1 GB4.0 GB80 GB
FP168.0 GB0.8 GB1 GB9.8 GB80 GB

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