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// RUN — FITS
Can the FuriosaAI RNGD run FRED-T5-XL?
Yes — here's how fast and up to what context, with real measured numbers.
FRED-T5-XL on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 598k | 280.2-340.5 t/s | ~7.5-9.1 (slow) |
| Q8 | yes | 624k | 560.3-681 t/s | ~14.9-18.2 (slow) |
| Q4 | yes | 636k | 1000.6-1216.1 t/s | ~26.7-32.4 (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 FRED-T5-XL?▶
Yes. At Q4 it generates ~1000.6-1216.1 tok/s and fits up to 636k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~26.7-32.4 tok/s.
How much context fits?▶
At Q4, up to about 636k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.