// RUN โ€” FITS

Can the NVIDIA RTX 6000 Ada 48GB run IDEFICS-9B?

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

IDEFICS-9B on the NVIDIA RTX 6000 Ada 48GB

QuantFits?Max contextSpeedBeyond context
FP16 yes 188k 38.9-46.4 t/s ~1.6-1.9 (slow)
Q8 yes 257k 77.9-92.8 t/s ~3.2-3.9 (slow)
Q4 yes 287k 139-165.7 t/s ~5.8-6.9 (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 IDEFICS-9B?โ–ถ

Yes. At Q4 it generates ~139-165.7 tok/s and fits up to 287k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~5.8-6.9 tok/s.

How much context fits?โ–ถ

At Q4, up to about 287k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.