// RUN โ€” FITS

Can the NVIDIA GeForce RTX 5090 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 GeForce RTX 5090

QuantFits?Max contextSpeedBeyond context
FP16 yes 373k 375.9-448 t/s ~8.4-10 (slow)
Q8 yes 400k 751.8-896 t/s ~16.8-20 (slow)
Q4 yes 411k 1342.5-1600 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 GeForce RTX 5090 run FRED-T5-XL?โ–ถ

Yes. At Q4 it generates ~1342.5-1600 tok/s and fits up to 411k 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 411k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.