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// RUN — FITS
Can the FuriosaAI RNGD run (ensemble): AWD-LSTM-DOC (fin) × 5 (WT2)?
Yes — here's how fast and up to what context, with real measured numbers.
(ensemble): AWD-LSTM-DOC (fin) × 5 (WT2) on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 645k | 2635.1-3202.7 t/s | ~70.3-85.4 (slow) |
| Q8 | yes | 648k | 5270.3-6405.4 t/s | ~140.5-170.8 (slow) |
| Q4 | yes | 649k | 9411.2-11438.2 t/s | ~251-305 (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.
→ All models on the FuriosaAI RNGD
→ (ensemble): AWD-LSTM-DOC (fin) × 5 (WT2) specs
→ Other hardware
FAQ
Can the FuriosaAI RNGD run (ensemble): AWD-LSTM-DOC (fin) × 5 (WT2)?▶
Yes. At Q4 it generates ~9411.2-11438.2 tok/s and fits up to 649k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~251-305 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.