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// RUN — FITS
Can the FuriosaAI RNGD run DataGemma?
Yes — here's how fast and up to what context, with real measured numbers.
DataGemma on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | no | — | — | — |
| Q8 | yes | 59k | 35.8-43.6 t/s | ~1-1.2 (slow) |
| Q4 | yes | 105k | 64-77.8 t/s | ~1.7-2.1 (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 FuriosaAI RNGD run DataGemma?▶
Yes. At Q4 it generates ~64-77.8 tok/s and fits up to 105k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~1.7-2.1 tok/s.
How much context fits?▶
At Q4, up to about 105k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.