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// RUN — FITS
Can the NVIDIA H200 run GPT-J-6B?
Yes — here's how fast and up to what context, with real measured numbers.
GPT-J-6B on the NVIDIA H200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 886k | 289.4-344.9 t/s | ~2.4-2.9 (slow) |
| Q8 | yes | 932k | 578.9-689.9 t/s | ~4.8-5.7 (slow) |
| Q4 | yes | 952k | 1033.7-1231.9 t/s | ~8.6-10.3 (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 GPT-J-6B?▶
Yes. At Q4 it generates ~1033.7-1231.9 tok/s and fits up to 952k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~8.6-10.3 tok/s.
How much context fits?▶
At Q4, up to about 952k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.