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// RUN — FITS
Can the NVIDIA H200 run Mistral Large 2.1?
Yes — here's how fast and up to what context, with real measured numbers.
Mistral Large 2.1 on the NVIDIA H200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | no | — | — | — |
| Q8 | yes | 16k | 28.5-34 t/s | ~0.2-0.3 (slow) |
| Q4 | yes | 181k | 50.9-60.6 t/s | ~0.4-0.5 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to system RAM offload (depends on your system RAM) and speed drops to the "beyond" figure.
FAQ
Can the NVIDIA H200 run Mistral Large 2.1?▶
Yes. At Q4 it generates ~50.9-60.6 tok/s and fits up to 181k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~0.4-0.5 tok/s.
How much context fits?▶
At Q4, up to about 181k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.