// RUN โ€” FITS

Can the NVIDIA RTX 6000 Ada 48GB run StyleGAN3-R?

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

StyleGAN3-R on the NVIDIA RTX 6000 Ada 48GB

QuantFits?Max contextSpeedBeyond context
FP16 yes 651k 221772.2-264303.8 t/s ~9240.5-11012.7 (slow)
Q8 yes 651k 443544.3-528607.6 t/s ~18481-22025.3 (slow)
Q4 yes 651k 792043.4-943942.1 t/s ~33001.8-39330.9 (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 NVIDIA RTX 6000 Ada 48GB run StyleGAN3-R?โ–ถ

Yes. At Q4 it generates ~792043.4-943942.1 tok/s and fits up to 651k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~33001.8-39330.9 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.