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Can H100 80GB SXM5 run Qwen2.5-72B-Instruct?

NVIDIA · 80 GB HBM3 · 3350 GB/s bandwidth · Alibaba · 72.7B · model ctx up to 128K

Yes — the H100 80GB SXM5 (80 GB HBM3) can run Qwen2.5-72B-Instruct. At Q4 with the default 8K context it needs ≈ 55.53 GB VRAM (weights 39.99 GB + KV cache 14.54 GB + 1 GB runtime overhead), which fits within 80 GB. Decode at Q4/8K: ≈ 29.3 tok/s (estimated, batch 1). FP16 needs ≈ 160.94 GB — does not fit on this card. 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)
Q44K48.26 GBYes29.3 est.
Q48K default55.53 GBYes29.3 est.
Q432K99.15 GBNo54.5 est.
FP164K153.67 GBNo6.2 est.
FP168K default160.94 GBNo5.7 est.
FP1632K204.56 GBNo3.5 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 neededH100 80GB SXM5 VRAM
Q439.99 GB14.54 GB1 GB55.53 GB80 GB
FP16145.4 GB14.54 GB1 GB160.94 GB80 GB

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