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// RUN — FITS
Can the NVIDIA H100 SXM5 80GB run Gemma 3n?
Yes — here's how fast and up to what context, with real measured numbers.
Gemma 3n on the NVIDIA H100 SXM5 80GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 430k | 155.8-185.6 t/s | ~1.9-2.2 (slow) |
| Q8 | yes | 490k | 311.5-371.3 t/s | ~3.7-4.4 (slow) |
| Q4 | yes | 517k | 556.3-663 t/s | ~6.6-7.9 (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 Gemma 3n?▶
Yes. At Q4 it generates ~556.3-663 tok/s and fits up to 517k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~6.6-7.9 tok/s.
How much context fits?▶
At Q4, up to about 517k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.