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Can I run Qwen3-VL-235B-A22B-Instruct-FP8 on an NVIDIA B300?

Yes, just

Its published weights (238 GB) fit in the 259 GB an NVIDIA B300 can use, with room for ≈ 110K tokens of context.

Full analysis of Qwen3-VL-235B-A22B-Instruct-FP8 Everything that runs on NVIDIA B300 Get the weights on Hugging Face
hf download Qwen/Qwen3-VL-235B-A22B-Instruct-FP8

Files and context on NVIDIA B300

Each file of Qwen3-VL-235B-A22B-Instruct-FP8 (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.

FileSizeOn NVIDIA B300 Context (16-bit)Context (8-bit)
As published238 GBTight110K219K
4-bit (estimate)133 GBFits256K256K

Qwen3-VL-235B-A22B-Instruct-FP8 on other hardware

Popular models that run on NVIDIA B300

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.