// RUN โ€” FITS

Can the NVIDIA B200 run ChatGLM3-6B?

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

ChatGLM3-6B on the NVIDIA B200

QuantFits?Max contextSpeedBeyond context
FP16 yes 1245k 486.7-580 t/s ~2.4-2.9 (slow)
Q8 yes 1290k 973.3-1160 t/s ~4.9-5.8 (slow)
Q4 yes 1311k 1738.1-2071.4 t/s ~8.7-10.4 (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 B200 run ChatGLM3-6B?โ–ถ

Yes. At Q4 it generates ~1738.1-2071.4 tok/s and fits up to 1311k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~8.7-10.4 tok/s.

How much context fits?โ–ถ

At Q4, up to about 1311k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.