// RUN โ€” FITS

Can the NVIDIA RTX 6000 Ada 48GB run OpenPhenom-S/16?

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

OpenPhenom-S/16 on the NVIDIA RTX 6000 Ada 48GB

QuantFits?Max contextSpeedBeyond context
FP16 yes 646k 1968-2345.5 t/s ~82-97.7 (slow)
Q8 yes 648k 3936.1-4690.9 t/s ~164-195.5 (slow)
Q4 yes 649k 7028.7-8376.7 t/s ~292.9-349 (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 OpenPhenom-S/16?โ–ถ

Yes. At Q4 it generates ~7028.7-8376.7 tok/s and fits up to 649k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~292.9-349 tok/s.

How much context fits?โ–ถ

At Q4, up to about 649k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.