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// RUN — FITS
Can the NVIDIA B200 run DeepSeekMath 7B?
Yes — here's how fast and up to what context, with real measured numbers.
DeepSeekMath 7B on the NVIDIA B200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1229k | 417.1-497.1 t/s | ~2.1-2.5 (slow) |
| Q8 | yes | 1283k | 834.3-994.3 t/s | ~4.2-5 (slow) |
| Q4 | yes | 1306k | 1489.8-1775.5 t/s | ~7.4-8.9 (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 DeepSeekMath 7B?▶
Yes. At Q4 it generates ~1489.8-1775.5 tok/s and fits up to 1306k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~7.4-8.9 tok/s.
How much context fits?▶
At Q4, up to about 1306k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.