// RUN โ€” FITS

Can the NVIDIA B200 run OpenELM-450M?

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

OpenELM-450M on the NVIDIA B200

QuantFits?Max contextSpeedBeyond context
FP16 yes 2659k 6488.9-7733.3 t/s ~32.4-38.7 (slow)
Q8 yes 2666k 12977.8-15466.7 t/s ~64.9-77.3 (slow)
Q4 yes 2669k 23174.6-27619 t/s ~115.9-138.1 (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 B200 run OpenELM-450M?โ–ถ

Yes. At Q4 it generates ~23174.6-27619 tok/s and fits up to 2669k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~115.9-138.1 tok/s.

How much context fits?โ–ถ

At Q4, up to about 2669k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.