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// RUN — FITS
Can the NVIDIA H100 SXM5 80GB run Gemma2 9B CPT Sahabat-AI?
Yes — here's how fast and up to what context, with real measured numbers.
Gemma2 9B CPT Sahabat-AI on the NVIDIA H100 SXM5 80GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 413k | 135.9-161.9 t/s | ~1.6-1.9 (slow) |
| Q8 | yes | 481k | 271.7-323.8 t/s | ~3.2-3.9 (slow) |
| Q4 | yes | 512k | 485.2-578.3 t/s | ~5.8-6.9 (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 Gemma2 9B CPT Sahabat-AI?▶
Yes. At Q4 it generates ~485.2-578.3 tok/s and fits up to 512k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~5.8-6.9 tok/s.
How much context fits?▶
At Q4, up to about 512k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.