// RUN โ€” FITS

Can the NVIDIA RTX 6000 Ada 48GB run Prithvi-100M?

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

Prithvi-100M on the NVIDIA RTX 6000 Ada 48GB

QuantFits?Max contextSpeedBeyond context
FP16 yes 648k 3504-4176 t/s ~146-174 (slow)
Q8 yes 649k 7008-8352 t/s ~292-348 (slow)
Q4 yes 650k 12514.3-14914.3 t/s ~521.4-621.4 (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 Prithvi-100M?โ–ถ

Yes. At Q4 it generates ~12514.3-14914.3 tok/s and fits up to 650k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~521.4-621.4 tok/s.

How much context fits?โ–ถ

At Q4, up to about 650k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.