← AI Hashrate

Can H100 80GB SXM5 run DeepSeek-R1-Distill-Llama-70B?

NVIDIA · 80 GB HBM3 · 3350 GB/s bandwidth · DeepSeek · 70.6B · model ctx up to 128K

Yes — the H100 80GB SXM5 (80 GB HBM3) can run DeepSeek-R1-Distill-Llama-70B. At Q4 with the default 8K context it needs ≈ 53.95 GB VRAM (weights 38.83 GB + KV cache 14.12 GB + 1 GB runtime overhead), which fits within 80 GB. Decode at Q4/8K: ≈ 30.2 tok/s (estimated, batch 1). FP16 needs ≈ 156.32 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)
Q44K46.89 GBYes30.2 est.
Q48K default53.95 GBYes30.2 est.
Q432K96.31 GBNo59.5 est.
FP164K149.26 GBNo6.8 est.
FP168K default156.32 GBNo6.2 est.
FP1632K198.68 GBNo3.8 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
Q438.83 GB14.12 GB1 GB53.95 GB80 GB
FP16141.2 GB14.12 GB1 GB156.32 GB80 GB

Other GPUs that run DeepSeek-R1-Distill-Llama-70B

All GPUs for DeepSeek-R1-Distill-Llama-70B →

Other models for the H100 80GB SXM5

All models on the H100 80GB SXM5 →