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Can H100 80GB SXM5 run Qwen3-14B?

NVIDIA · 80 GB HBM3 · 3350 GB/s bandwidth · Alibaba · 14.8B · model ctx up to 128K

Yes — the H100 80GB SXM5 (80 GB HBM3) can run Qwen3-14B. At Q4 with the default 8K context it needs ≈ 12.1 GB VRAM (weights 8.14 GB + KV cache 2.96 GB + 1 GB runtime overhead), which fits within 80 GB. Decode at Q4/8K: ≈ 144.0 tok/s (estimated, batch 1). FP16 (≈ 33.56 GB) also fits, at ≈ 39.6 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)
Q44K10.62 GBYes144.0 est.
Q48K default12.1 GBYes144.0 est.
Q432K20.98 GBYes144.0 est.
FP164K32.08 GBYes39.6 est.
FP168K default33.56 GBYes39.6 est.
FP1632K42.44 GBYes39.6 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
Q48.14 GB2.96 GB1 GB12.1 GB80 GB
FP1629.6 GB2.96 GB1 GB33.56 GB80 GB

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