// RUN โ€” FITS

Can the NVIDIA RTX 6000 Ada 48GB run gpt-sw3-40b?

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

gpt-sw3-40b on the NVIDIA RTX 6000 Ada 48GB

QuantFits?Max contextSpeedBeyond context
FP16 no โ€” โ€” โ€”
Q8 yes 8k 17.5-20.9 t/s ~0.7-0.9 (slow)
Q4 yes 62k 31.3-37.3 t/s ~1.3-1.6 (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 gpt-sw3-40b?โ–ถ

Yes. At Q4 it generates ~31.3-37.3 tok/s and fits up to 62k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~1.3-1.6 tok/s.

How much context fits?โ–ถ

At Q4, up to about 62k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.