// RUN โ€” FITS

Can the FuriosaAI RNGD run StyleGAN3-R?

Yes โ€” here's how fast and up to what context, with real measured numbers.

StyleGAN3-R on the FuriosaAI RNGD

QuantFits?Max contextSpeedBeyond context
FP16 yes 651k 308544.3-375000 t/s ~8227.8-10000 (slow)
Q8 yes 651k 617088.6-750000 t/s ~16455.7-20000 (slow)
Q4 yes 651k 1101943.9-1339285.7 t/s ~29385.2-35714.3 (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 StyleGAN3-R?โ–ถ

Yes. At Q4 it generates ~1101943.9-1339285.7 tok/s and fits up to 651k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~29385.2-35714.3 tok/s.

How much context fits?โ–ถ

At Q4, up to about 651k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.