Can I run Qwen3-VL-32B-Thinking on an NVIDIA H100?

Yes, just

Its published weights (66.7 GB) fit in the 72.0 GB an NVIDIA H100 can use, with room for ≈ 20K tokens of context.

Full analysis of Qwen3-VL-32B-Thinking Everything that runs on NVIDIA H100 Get the weights on Hugging Face

hf download Qwen/Qwen3-VL-32B-Thinking

Files and context on NVIDIA H100

Each file of Qwen3-VL-32B-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 H100	Context (16-bit)	Context (8-bit)
As published	66.7 GB	Tight	20K	39K
F16Qwen/Qwen3-VL-32B-Thinking-GGUF	65.5 GB	Tight	24K	48K
Q8_0Qwen/Qwen3-VL-32B-Thinking-GGUF	34.8 GB	Fits	139K	256K
Q4_K_MQwen/Qwen3-VL-32B-Thinking-GGUF	19.8 GB	Fits	195K	256K

Qwen3-VL-32B-Thinking on other hardware

Popular models that run on NVIDIA H100

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.