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Can I run Qwen3.8-35B-A3B-Distill-GGUF on an NVIDIA H100?

Yes, just

Its BF16 file (71.1 GB) fits in the 72.0 GB an NVIDIA H100 can use, with room for ≈ 41K tokens of context.

Full analysis of Qwen3.8-35B-A3B-Distill-GGUF Everything that runs on NVIDIA H100 Get the BF16 file on Hugging Face
ollama run hf.co/empero-ai/Qwen3.8-35B-A3B-Distill-GGUF:BF16

Files and context on NVIDIA H100

Each file of Qwen3.8-35B-A3B-Distill-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 NVIDIA H100 Context (16-bit)Context (8-bit)
BF1671.1 GBTight41K83K
Q8_037.8 GBFits256K256K
Q6_K29.2 GBFits256K256K
Q5_K_M25.3 GBFits256K256K
Q4_K_M21.7 GBFits256K256K
IQ4_XS19.6 GBFits256K256K
Q3_K_M17.7 GBFits256K256K
IQ3_M16.3 GBFits256K256K
Q2_K13.8 GBFits256K256K
IQ2_M12.6 GBFits256K256K

Qwen3.8-35B-A3B-Distill-GGUF on other hardware

Popular models that run on NVIDIA H100

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.