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// RUN — FITS
Can the NVIDIA B200 run iGPT-L?
Yes — here's how fast and up to what context, with real measured numbers.
iGPT-L on the NVIDIA B200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 2631k | 2143.9-2555.1 t/s | ~10.7-12.8 (slow) |
| Q8 | yes | 2652k | 4287.8-5110.1 t/s | ~21.4-25.6 (slow) |
| Q4 | yes | 2661k | 7656.8-9125.2 t/s | ~38.3-45.6 (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 iGPT-L?▶
Yes. At Q4 it generates ~7656.8-9125.2 tok/s and fits up to 2661k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~38.3-45.6 tok/s.
How much context fits?▶
At Q4, up to about 2661k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.