// RUN โ€” FITS

Can the NVIDIA B200 run Ring-mini-linear-2.0?

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

Ring-mini-linear-2.0 on the NVIDIA B200

QuantFits?Max contextSpeedBeyond context
FP16 yes 543k 178-212.2 t/s ~0.9-1.1 (slow)
Q8 yes 606k 356.1-424.4 t/s ~1.8-2.1 (slow)
Q4 yes 633k 635.9-757.8 t/s ~3.2-3.8 (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 Ring-mini-linear-2.0?โ–ถ

Yes. At Q4 it generates ~635.9-757.8 tok/s and fits up to 633k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~3.2-3.8 tok/s.

How much context fits?โ–ถ

At Q4, up to about 633k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.