Can I run Qwen3.8-27B-AP-GGUF on an NVIDIA B200?

Yes

Its Q4_K_XL file (17.6 GB) fits in the 162 GB an NVIDIA B200 can use, with room for ≈ 256K tokens of context.

Full analysis of Qwen3.8-27B-AP-GGUF Everything that runs on NVIDIA B200 Get the Q4_K_XL file on Hugging Face

ollama run hf.co/agentionai/Qwen3.8-27B-AP-GGUF:Q4_K_XL

Files and context on NVIDIA B200

Each file of Qwen3.8-27B-AP-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.

File	Size	On NVIDIA B200	Context (16-bit)	Context (8-bit)
Q4_K_XL	17.6 GB	Fits	256K	256K
Q4_K_M	16.5 GB	Fits	256K	256K
IQ4_XS	14.3 GB	Fits	256K	256K
Q3_K_XL	13.1 GB	Fits	256K	256K
IQ3_S	12.0 GB	Fits	256K	256K
IQ3_XS	11.5 GB	Fits	256K	256K
IQ3_XXS	10.7 GB	Fits	256K	256K
IQ2_S	9.61 GB	Fits	256K	256K

Qwen3.8-27B-AP-GGUF on other hardware

Popular models that run on NVIDIA B200

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.