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Can the NVIDIA B200 run AlphaGeometry?
Yes — here's how fast and up to what context, with real measured numbers.
AlphaGeometry on the NVIDIA B200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 2668k | 19337.7-23046.4 t/s | ~96.7-115.2 (slow) |
| Q8 | yes | 2670k | 38675.5-46092.7 t/s | ~193.4-230.5 (slow) |
| Q4 | yes | 2671k | 69063.4-82308.4 t/s | ~345.3-411.5 (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 AlphaGeometry?▶
Yes. At Q4 it generates ~69063.4-82308.4 tok/s and fits up to 2671k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~345.3-411.5 tok/s.
How much context fits?▶
At Q4, up to about 2671k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.