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// RUN — FITS
Can the FuriosaAI RNGD run BigGAN-deep 512x512?
Yes — here's how fast and up to what context, with real measured numbers.
BigGAN-deep 512x512 on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 648k | 4325.8-5257.6 t/s | ~115.4-140.2 (slow) |
| Q8 | yes | 649k | 8651.7-10515.1 t/s | ~230.7-280.4 (slow) |
| Q4 | yes | 650k | 15449.4-18777 t/s | ~412-500.7 (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 BigGAN-deep 512x512?▶
Yes. At Q4 it generates ~15449.4-18777 tok/s and fits up to 650k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~412-500.7 tok/s.
How much context fits?▶
At Q4, up to about 650k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.