// RUN โ€” FITS

Can the NVIDIA B200 run ULM-FiT?

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

ULM-FiT on the NVIDIA B200

QuantFits?Max contextSpeedBeyond context
FP16 yes 2659k 6621.3-7891.2 t/s ~33.1-39.5 (slow)
Q8 yes 2666k 13242.6-15782.3 t/s ~66.2-78.9 (slow)
Q4 yes 2669k 23647.6-28182.7 t/s ~118.2-140.9 (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 ULM-FiT?โ–ถ

Yes. At Q4 it generates ~23647.6-28182.7 tok/s and fits up to 2669k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~118.2-140.9 tok/s.

How much context fits?โ–ถ

At Q4, up to about 2669k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.