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Can I run Qwen3.8-Flash-Next-GGUF on an NVIDIA H100?

Yes, just

Its Qwen3.8-Flash-Next-UD-Q2_0 file (70.5 GB) fits in the 72.0 GB an NVIDIA H100 can use, with room for ≈ 53K tokens of context.

Full analysis of Qwen3.8-Flash-Next-GGUF Everything that runs on NVIDIA H100 Get the Qwen3.8-Flash-Next-UD-Q2_0 file on Hugging Face
llama-server -hf unsloth/Qwen3.8-Flash-Next-GGUF

Files and context on NVIDIA H100

Each file of Qwen3.8-Flash-Next-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)
BF16354 GBDoesn't fit——
Q8_0188 GBDoesn't fit——
UD-Q6_K_XL169 GBDoesn't fit——
UD-Q5_K_XL158 GBDoesn't fit——
UD-Q4_K_XL111 GBDoesn't fit——
UD-IQ4_XS93.7 GBDoesn't fit——
UD-Q3_K_XL89.5 GBDoesn't fit——
UD-IQ3_XXS83.6 GBDoesn't fit——
UD-Q2_K_XL79.6 GBDoesn't fit——
UD-IQ2_XS75.8 GBDoesn't fit——
Qwen3.8-Flash-Next-UD-Q2_070.5 GBTight53K106K
UD-IQ1_M68.0 GBTight154K256K
UD-IQ1_S66.4 GBTight219K256K

Qwen3.8-Flash-Next-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.