Can I run Qwen3-235B-A22B-GPTQ-Int4 on an NVIDIA B200?

Yes

Its published weights (125 GB) fit in the 162 GB an NVIDIA B200 can use, with room for ≈ 40K tokens of context.

Full analysis of Qwen3-235B-A22B-GPTQ-Int4 Everything that runs on NVIDIA B200 Get the weights on Hugging Face

hf download Qwen/Qwen3-235B-A22B-GPTQ-Int4

Files and context on NVIDIA B200

Each file of Qwen3-235B-A22B-GPTQ-Int4 (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	125 GB	Fits	40K	40K

Qwen3-235B-A22B-GPTQ-Int4 on other hardware

NVIDIA B200Yes
NVIDIA H100No
RTX 5090No
RTX 4090No
RTX 3090No
RTX 5060 Ti 16 GBNo
RTX 3060 12 GBNo
RTX 4060No
Mac with 32 GBNo
Mac with 64 GBNo
Mac with 128 GBNo

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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.