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Can H100 80GB SXM5 run Qwen3-0.6B?

NVIDIA · 80 GB HBM3 · 3350 GB/s bandwidth · Alibaba · 0.8B · model ctx up to 40K

Yes — the H100 80GB SXM5 (80 GB HBM3) can run Qwen3-0.6B. At Q4 with the default 8K context it needs ≈ 1.6 GB VRAM (weights 0.44 GB + KV cache 0.16 GB + 1 GB runtime overhead), which fits within 80 GB. Decode at Q4/8K: ≈ 2664.8 tok/s (estimated, batch 1). FP16 (≈ 2.76 GB) also fits, at ≈ 732.8 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)
Q44K1.52 GBYes2664.8 est.
Q48K default1.6 GBYes2664.8 est.
Q432K2.08 GBYes2664.8 est.
FP164K2.68 GBYes732.8 est.
FP168K default2.76 GBYes732.8 est.
FP1632K3.24 GBYes732.8 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
Q40.44 GB0.16 GB1 GB1.6 GB80 GB
FP161.6 GB0.16 GB1 GB2.76 GB80 GB

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