Can I run Qwen3-VL-30B-A3B-Thinking on an NVIDIA B300?

Yes

Its published weights (62.1 GB) fit in the 259 GB an NVIDIA B300 can use, with room for ≈ 256K tokens of context.

Full analysis of Qwen3-VL-30B-A3B-Thinking Everything that runs on NVIDIA B300 Get the weights on Hugging Face

hf download Qwen/Qwen3-VL-30B-A3B-Thinking

Files and context on NVIDIA B300

Each file of Qwen3-VL-30B-A3B-Thinking (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 B300	Context (16-bit)	Context (8-bit)
As published	62.1 GB	Fits	256K	256K
F16Qwen/Qwen3-VL-30B-A3B-Thinking-GGUF	61.1 GB	Fits	256K	256K
Q8_0Qwen/Qwen3-VL-30B-A3B-Thinking-GGUF	32.5 GB	Fits	256K	256K
Q4_K_MQwen/Qwen3-VL-30B-A3B-Thinking-GGUF	18.6 GB	Fits	256K	256K

Qwen3-VL-30B-A3B-Thinking 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.