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Can the NVIDIA B200 run Pythia-410m?
Yes — here's how fast and up to what context, with real measured numbers.
Pythia-410m on the NVIDIA B200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 2660k | 7122-8487.8 t/s | ~35.6-42.4 (slow) |
| Q8 | yes | 2666k | 14243.9-16975.6 t/s | ~71.2-84.9 (slow) |
| Q4 | yes | 2669k | 25435.5-30313.6 t/s | ~127.2-151.6 (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 Pythia-410m?▶
Yes. At Q4 it generates ~25435.5-30313.6 tok/s and fits up to 2669k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~127.2-151.6 tok/s.
How much context fits?▶
At Q4, up to about 2669k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.