// RUN โ€” FITS

Can the FuriosaAI RNGD run StyleGAN3-T?

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

StyleGAN3-T on the FuriosaAI RNGD

QuantFits?Max contextSpeedBeyond context
FP16 yes 651k 218609.9-265695.1 t/s ~5829.6-7085.2 (slow)
Q8 yes 651k 437219.7-531390.1 t/s ~11659.2-14170.4 (slow)
Q4 yes 651k 780749.5-948911 t/s ~20820-25304.3 (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-T?โ–ถ

Yes. At Q4 it generates ~780749.5-948911 tok/s and fits up to 651k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~20820-25304.3 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.