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// RUN — FITS
Can the NVIDIA B200 run Smaug-34B?
Yes — here's how fast and up to what context, with real measured numbers.
Smaug-34B on the NVIDIA B200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 409k | 85.9-102.4 t/s | ~0.4-0.5 (slow) |
| Q8 | yes | 538k | 171.8-204.7 t/s | ~0.9-1 (slow) |
| Q4 | yes | 595k | 306.7-365.5 t/s | ~1.5-1.8 (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 Smaug-34B?▶
Yes. At Q4 it generates ~306.7-365.5 tok/s and fits up to 595k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~1.5-1.8 tok/s.
How much context fits?▶
At Q4, up to about 595k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.