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// RUN — FITS
Can the NVIDIA H200 run ProGen2-xlarge?
Yes — here's how fast and up to what context, with real measured numbers.
ProGen2-xlarge on the NVIDIA H200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 881k | 273.8-326.3 t/s | ~2.3-2.7 (slow) |
| Q8 | yes | 929k | 547.5-652.5 t/s | ~4.6-5.4 (slow) |
| Q4 | yes | 951k | 977.7-1165.2 t/s | ~8.1-9.7 (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 H200 run ProGen2-xlarge?▶
Yes. At Q4 it generates ~977.7-1165.2 tok/s and fits up to 951k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~8.1-9.7 tok/s.
How much context fits?▶
At Q4, up to about 951k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.