Can I run surya-ocr-2.5 on an NVIDIA B300?

Yes

Its published weights (1.38 GB) fit in the 259 GB an NVIDIA B300 can use, with room for ≈ 256K tokens of context.

Full analysis of surya-ocr-2.5 Everything that runs on NVIDIA B300 Get the weights on Hugging Face

hf download datalab-to/surya-ocr-2.5

Files and context on NVIDIA B300

Each file of surya-ocr-2.5 (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 B300	Context (16-bit)	Context (8-bit)
As published	1.38 GB	Fits	256K	256K
4-bit (estimate)	388 MB	Fits	256K	256K

surya-ocr-2.5 on other hardware

NVIDIA B300Yes
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.