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Can I run Qwen3-VL-8B-Thinking on an RTX 6000 Ada?

Yes

Its published weights (17.5 GB) fit in the 43.2 GB an RTX 6000 Ada can use, with room for ≈ 170K tokens of context.

Full analysis of Qwen3-VL-8B-Thinking Everything that runs on RTX 6000 Ada Get the weights on Hugging Face
hf download Qwen/Qwen3-VL-8B-Thinking

Files and context on RTX 6000 Ada

Each file of Qwen3-VL-8B-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.

FileSizeOn RTX 6000 Ada Context (16-bit)Context (8-bit)
As published17.5 GBFits170K256K
F16Qwen/Qwen3-VL-8B-Thinking-GGUF16.4 GBFits178K256K
Q8_0Qwen/Qwen3-VL-8B-Thinking-GGUF8.71 GBFits228K256K
Q4_K_MQwen/Qwen3-VL-8B-Thinking-GGUF5.03 GBFits253K256K

Qwen3-VL-8B-Thinking 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.