Can I run QVQ-72B-Preview on an NVIDIA B200?

Yes, just

Its published weights (147 GB) fit in the 162 GB an NVIDIA B200 can use, with room for ≈ 45K tokens of context.

Full analysis of QVQ-72B-Preview Everything that runs on NVIDIA B200 Get the weights on Hugging Face

hf download Qwen/QVQ-72B-Preview

Files and context on NVIDIA B200

Each file of QVQ-72B-Preview (and of GGUF versions the site has analyzed), and how much context fits next to it, with the context cache in 16-bit or 8-bit.

File	Size	On NVIDIA B200	Context (16-bit)	Context (8-bit)
As published	147 GB	Tight	45K	91K
4-bit (estimate)	41.3 GB	Fits	125K	125K

QVQ-72B-Preview on other hardware

NVIDIA B200Yes, just
NVIDIA H100Probably, at 4-bit
RTX 5090No
RTX 4090No
RTX 3090No
RTX 5060 Ti 16 GBNo
RTX 3060 12 GBNo
RTX 4060No
Mac with 32 GBNo
Mac with 64 GBProbably, at 4-bit
Mac with 128 GBProbably, at 4-bit

Popular models that run on NVIDIA B200

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Qwen3-8BQwen · 8.19B
Qwen3-Coder-30B-A3B-Instruct-GGUFunsloth · 30.5B
gemma-4-26B-A4B-itgoogle · 25.8B
Qwen2.5-7B-InstructQwen · 7.62B
Qwen3.5-9BQwen · 9.65B

Assumes 90% of the card's memory is usable and at least 4K tokens of context for one conversation, with the context cache in 16-bit unless noted. Fits leaves at least 20% of that memory for context; Tight leaves less.