// RUN โ€” FITS

Can the NVIDIA RTX 6000 Ada 48GB run ALBERT-xxlarge?

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

ALBERT-xxlarge on the NVIDIA RTX 6000 Ada 48GB

QuantFits?Max contextSpeedBeyond context
FP16 yes 644k 1491.1-1777 t/s ~62.1-74 (slow)
Q8 yes 647k 2982.1-3554 t/s ~124.3-148.1 (slow)
Q4 yes 649k 5325.2-6346.5 t/s ~221.9-264.4 (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 ALBERT-xxlarge?โ–ถ

Yes. At Q4 it generates ~5325.2-6346.5 tok/s and fits up to 649k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~221.9-264.4 tok/s.

How much context fits?โ–ถ

At Q4, up to about 649k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.