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Can I run Qwen3-VL-32B-Thinking-GGUF on an RTX 6000 Ada?

Yes, just

Its Q8_0 file (34.8 GB) fits in the 43.2 GB an RTX 6000 Ada can use, with room for ≈ 31K tokens of context.

Full analysis of Qwen3-VL-32B-Thinking-GGUF Everything that runs on RTX 6000 Ada Get the Q8_0 file on Hugging Face
ollama run hf.co/Qwen/Qwen3-VL-32B-Thinking-GGUF:Q8_0

Files and context on RTX 6000 Ada

Each file of Qwen3-VL-32B-Thinking-GGUF (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 RTX 6000 Ada Context (16-bit)Context (8-bit)
F1665.5 GBDoesn't fit——
Q8_034.8 GBTight31K62K
Q4_K_M19.8 GBFits87K175K

Qwen3-VL-32B-Thinking-GGUF on other hardware

Popular models that run on RTX 6000 Ada

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.