// RUN โ€” FITS

Can the NVIDIA RTX PRO 6000 Blackwell run DeepSeek LLM 67B?

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

DeepSeek LLM 67B on the NVIDIA RTX PRO 6000 Blackwell

QuantFits?Max contextSpeedBeyond context
FP16 no โ€” โ€” โ€”
Q8 yes 60k 19.5-23.3 t/s ~0.4-0.5 (slow)
Q4 yes 150k 34.9-41.6 t/s ~0.8-0.9 (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 PRO 6000 Blackwell run DeepSeek LLM 67B?โ–ถ

Yes. At Q4 it generates ~34.9-41.6 tok/s and fits up to 150k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~0.8-0.9 tok/s.

How much context fits?โ–ถ

At Q4, up to about 150k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.