// RUN โ€” FITS

Can the NVIDIA B200 run AraELECTRA?

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

AraELECTRA on the NVIDIA B200

QuantFits?Max contextSpeedBeyond context
FP16 yes 2668k 21470.6-25588.2 t/s ~107.4-127.9 (slow)
Q8 yes 2670k 42941.2-51176.5 t/s ~214.7-255.9 (slow)
Q4 yes 2671k 76680.7-91386.6 t/s ~383.4-456.9 (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 AraELECTRA?โ–ถ

Yes. At Q4 it generates ~76680.7-91386.6 tok/s and fits up to 2671k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~383.4-456.9 tok/s.

How much context fits?โ–ถ

At Q4, up to about 2671k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.