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// RUN — FITS
Can the NVIDIA H100 SXM5 80GB run Pythia-1b?
Yes — here's how fast and up to what context, with real measured numbers.
Pythia-1b on the NVIDIA H100 SXM5 80GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1070k | 1222.8-1457.3 t/s | ~14.6-17.4 (slow) |
| Q8 | yes | 1085k | 2445.5-2914.5 t/s | ~29.2-34.8 (slow) |
| Q4 | yes | 1092k | 4367-5204.5 t/s | ~52.1-62.1 (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 H100 SXM5 80GB run Pythia-1b?▶
Yes. At Q4 it generates ~4367-5204.5 tok/s and fits up to 1092k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~52.1-62.1 tok/s.
How much context fits?▶
At Q4, up to about 1092k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.