Can I run Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF on an NVIDIA B200?

Yes

Its Q8_0 file (29.0 GB) fits in the 162 GB an NVIDIA B200 can use, with room for ≈ 256K tokens of context.

Full analysis of Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF Everything that runs on NVIDIA B200 Get the Q8_0 file on Hugging Face

ollama run hf.co/DavidAU/Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF:Q8_0

Files and context on NVIDIA B200

Each file of Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-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)
Q8_0	29.0 GB	Fits	256K	256K
Q6_K	22.4 GB	Fits	256K	256K
Q5_K_M	19.5 GB	Fits	256K	256K
Q4_K_M	16.8 GB	Fits	256K	256K
IQ4_XS	15.3 GB	Fits	256K	256K
IQ3_M	12.8 GB	Fits	256K	256K
IQ2_M	10.2 GB	Fits	256K	256K

Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-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.