// RUN โ€” FITS

Can the NVIDIA B200 run FRED-T5-XL?

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

FRED-T5-XL on the NVIDIA B200

QuantFits?Max contextSpeedBeyond context
FP16 yes 2619k 1678.2-2000 t/s ~8.4-10 (slow)
Q8 yes 2646k 3356.3-4000 t/s ~16.8-20 (slow)
Q4 yes 2658k 5993.4-7142.9 t/s ~30-35.7 (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 FRED-T5-XL?โ–ถ

Yes. At Q4 it generates ~5993.4-7142.9 tok/s and fits up to 2658k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~30-35.7 tok/s.

How much context fits?โ–ถ

At Q4, up to about 2658k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.