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// RUN — FITS
Can the NVIDIA B200 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 B200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | no | — | — | — |
| Q8 | yes | 159k | 47.5-56.6 t/s | ~0.2-0.3 (slow) |
| Q4 | yes | 324k | 84.8-101 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 B200 run Mistral Large 2.1?▶
Yes. At Q4 it generates ~84.8-101 tok/s and fits up to 324k 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 324k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.