// RUN โ€” FITS

Can the NVIDIA GeForce RTX 2050 Mobile run Prithvi-100M?

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

Prithvi-100M on the NVIDIA GeForce RTX 2050 Mobile

QuantFits?Max contextSpeedBeyond context
FP16 yes 30k 408.8-487.2 t/s ~146-174 (slow)
Q8 yes 32k 817.6-974.4 t/s ~292-348 (slow)
Q4 yes 32k 1460-1740 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 GeForce RTX 2050 Mobile run Prithvi-100M?โ–ถ

Yes. At Q4 it generates ~1460-1740 tok/s and fits up to 32k 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 32k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.