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Can the NVIDIA B200 run BERT-Large?
Yes — here's how fast and up to what context, with real measured numbers.
BERT-Large on the NVIDIA B200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 2662k | 8588.2-10235.3 t/s | ~42.9-51.2 (slow) |
| Q8 | yes | 2667k | 17176.5-20470.6 t/s | ~85.9-102.4 (slow) |
| Q4 | yes | 2670k | 30672.3-36554.6 t/s | ~153.4-182.8 (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 BERT-Large?▶
Yes. At Q4 it generates ~30672.3-36554.6 tok/s and fits up to 2670k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~153.4-182.8 tok/s.
How much context fits?▶
At Q4, up to about 2670k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.