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// RUN — FITS
Can the NVIDIA B200 run gpt-sw3-40b?
Yes — here's how fast and up to what context, with real measured numbers.
gpt-sw3-40b on the NVIDIA B200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 290k | 73-87 t/s | ~0.4-0.4 (slow) |
| Q8 | yes | 412k | 146-174 t/s | ~0.7-0.9 (slow) |
| Q4 | yes | 466k | 260.7-310.7 t/s | ~1.3-1.6 (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 gpt-sw3-40b?▶
Yes. At Q4 it generates ~260.7-310.7 tok/s and fits up to 466k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~1.3-1.6 tok/s.
How much context fits?▶
At Q4, up to about 466k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.