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Can I run ThinkingCap-Qwen3.8-27B-NVFP4 on an RTX 6000 Ada?

Yes

Its published weights (20.6 GB) fit in the 43.2 GB an RTX 6000 Ada can use, with room for ≈ 256K tokens of context.

Full analysis of ThinkingCap-Qwen3.8-27B-NVFP4 Everything that runs on RTX 6000 Ada Get the weights on Hugging Face
hf download bottlecapai/ThinkingCap-Qwen3.8-27B-NVFP4

Files and context on RTX 6000 Ada

Each file of ThinkingCap-Qwen3.8-27B-NVFP4 (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 published20.6 GBFits256K256K
4-bit (estimate)15.6 GBFits256K256K

ThinkingCap-Qwen3.8-27B-NVFP4 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.