// RUN โ€” FITS

Can the NVIDIA B200 run Gemma 3 QAT 27B?

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

Gemma 3 QAT 27B on the NVIDIA B200

QuantFits?Max contextSpeedBeyond context
FP16 yes 462k 108.1-128.9 t/s ~0.5-0.6 (slow)
Q8 yes 565k 216.3-257.8 t/s ~1.1-1.3 (slow)
Q4 yes 610k 386.2-460.3 t/s ~1.9-2.3 (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 Gemma 3 QAT 27B?โ–ถ

Yes. At Q4 it generates ~386.2-460.3 tok/s and fits up to 610k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~1.9-2.3 tok/s.

How much context fits?โ–ถ

At Q4, up to about 610k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.