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// RUN — FITS
Can the FuriosaAI RNGD run Gemma 3n?
Yes — here's how fast and up to what context, with real measured numbers.
Gemma 3n on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 206k | 62.1-75.5 t/s | ~1.7-2 (slow) |
| Q8 | yes | 266k | 124.2-151 t/s | ~3.3-4 (slow) |
| Q4 | yes | 292k | 221.8-269.6 t/s | ~5.9-7.2 (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 FuriosaAI RNGD run Gemma 3n?▶
Yes. At Q4 it generates ~221.8-269.6 tok/s and fits up to 292k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~5.9-7.2 tok/s.
How much context fits?▶
At Q4, up to about 292k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.