// RUN โ€” FITS

Can the NVIDIA B200 run Pythia-70m?

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

Pythia-70m on the NVIDIA B200

QuantFits?Max contextSpeedBeyond context
FP16 yes 2670k 41714.3-49714.3 t/s ~208.6-248.6 (slow)
Q8 yes 2671k 83428.6-99428.6 t/s ~417.1-497.1 (slow)
Q4 yes 2672k 148979.6-177551 t/s ~744.9-887.8 (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 B200 run Pythia-70m?โ–ถ

Yes. At Q4 it generates ~148979.6-177551 tok/s and fits up to 2672k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~744.9-887.8 tok/s.

How much context fits?โ–ถ

At Q4, up to about 2672k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.