Can I run surya-ocr-2 on an NVIDIA H100?

Yes

Its published weights (1.37 GB) fit in the 72.0 GB an NVIDIA H100 can use, with room for ≈ 256K tokens of context.

Full analysis of surya-ocr-2 Everything that runs on NVIDIA H100 Get the weights on Hugging Face

hf download datalab-to/surya-ocr-2

Files and context on NVIDIA H100

Each file of surya-ocr-2 (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	1.37 GB	Fits	256K	256K
surya-2datalab-to/surya-ocr-2-gguf	1.27 GB	Fits	256K	256K

surya-ocr-2 on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes
RTX 3090Yes
RTX 5060 Ti 16 GBYes
RTX 3060 12 GBYes
RTX 4060Yes
Mac with 32 GBYes
Mac with 64 GBYes
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.