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// RUN — FITS
Can the NVIDIA B200 run InternLM2-20B?
Yes — here's how fast and up to what context, with real measured numbers.
InternLM2-20B on the NVIDIA B200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 516k | 146-174 t/s | ~0.7-0.9 (slow) |
| Q8 | yes | 592k | 292-348 t/s | ~1.5-1.7 (slow) |
| Q4 | yes | 625k | 521.4-621.4 t/s | ~2.6-3.1 (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 InternLM2-20B?▶
Yes. At Q4 it generates ~521.4-621.4 tok/s and fits up to 625k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~2.6-3.1 tok/s.
How much context fits?▶
At Q4, up to about 625k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.