Can I run GLM-4.7-Flash on an NVIDIA H100?

Yes, just

Its published weights (62.4 GB) fit in the 72.0 GB an NVIDIA H100 can use, with room for ≈ 172K tokens of context.

Full analysis of GLM-4.7-Flash Everything that runs on NVIDIA H100 Get the weights on Hugging Face

hf download zai-org/GLM-4.7-Flash

Files and context on NVIDIA H100

Each file of GLM-4.7-Flash (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 H100	Context (16-bit)	Context (8-bit)
As published	62.4 GB	Tight	172K	198K
4-bit (estimate)	17.6 GB	Fits	198K	198K

GLM-4.7-Flash on other hardware

NVIDIA H100Yes, just
RTX 5090Probably, at 4-bit
RTX 4090Probably, at 4-bit
RTX 3090Probably, at 4-bit
RTX 5060 Ti 16 GBNo
RTX 3060 12 GBNo
RTX 4060No
Mac with 32 GBProbably, at 4-bit
Mac with 64 GBProbably, at 4-bit
Mac with 128 GBYes

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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.