// RUN โ€” FITS

Can the NVIDIA RTX 6000 Ada 48GB run ULM-FiT?

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

ULM-FiT on the NVIDIA RTX 6000 Ada 48GB

QuantFits?Max contextSpeedBeyond context
FP16 yes 637k 794.6-946.9 t/s ~33.1-39.5 (slow)
Q8 yes 644k 1589.1-1893.9 t/s ~66.2-78.9 (slow)
Q4 yes 647k 2837.7-3381.9 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 RTX 6000 Ada 48GB run ULM-FiT?โ–ถ

Yes. At Q4 it generates ~2837.7-3381.9 tok/s and fits up to 647k 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 647k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.