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// RUN — FITS
Can the FuriosaAI RNGD run Pangu-Weather?
Yes — here's how fast and up to what context, with real measured numbers.
Pangu-Weather on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 643k | 1904.3-2314.5 t/s | ~50.8-61.7 (slow) |
| Q8 | yes | 647k | 3808.6-4628.9 t/s | ~101.6-123.4 (slow) |
| Q4 | yes | 649k | 6801.1-8265.9 t/s | ~181.4-220.4 (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 Pangu-Weather?▶
Yes. At Q4 it generates ~6801.1-8265.9 tok/s and fits up to 649k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~181.4-220.4 tok/s.
How much context fits?▶
At Q4, up to about 649k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.