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// RUN — FITS
Can the NVIDIA GeForce RTX 3080 10GB run Gemma 3n?
Yes — here's how fast and up to what context, with real measured numbers.
Gemma 3n on the NVIDIA GeForce RTX 3080 10GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | no | — | — | — |
| Q8 | no | — | — | — |
| Q4 | yes | 25k | 126.2-150.4 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 GeForce RTX 3080 10GB run Gemma 3n?▶
Yes. At Q4 it generates ~126.2-150.4 tok/s and fits up to 25k 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 25k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.