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
Quant
Context
VRAM needed
Fits?
tok/s (decode)
Q4
4K
46.89 GB
Yes
30.2est.
Q4
8K default
53.95 GB
Yes
30.2est.
Q4
32K
96.31 GB
No
59.5est.
FP16
4K
149.26 GB
No
6.8est.
FP16
8K default
156.32 GB
No
6.2est.
FP16
32K
198.68 GB
No
3.8est.
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).