// RUN โ€” FITS

Can the NVIDIA RTX PRO 6000 Blackwell run iGPT-L?

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

iGPT-L on the NVIDIA RTX PRO 6000 Blackwell

QuantFits?Max contextSpeedBeyond context
FP16 yes 1283k 480.2-572.3 t/s ~10.7-12.8 (slow)
Q8 yes 1304k 960.5-1144.7 t/s ~21.4-25.6 (slow)
Q4 yes 1313k 1715.1-2044.1 t/s ~38.3-45.6 (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 PRO 6000 Blackwell run iGPT-L?โ–ถ

Yes. At Q4 it generates ~1715.1-2044.1 tok/s and fits up to 1313k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~38.3-45.6 tok/s.

How much context fits?โ–ถ

At Q4, up to about 1313k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.