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Can I run Nemotron-3.5-Parse on an NVIDIA B300?

Yes

Its published weights (2.52 GB) fit in the 259 GB an NVIDIA B300 can use, with room for ≈ 16K tokens of context.

Full analysis of Nemotron-3.5-Parse Everything that runs on NVIDIA B300 Get the weights on Hugging Face
hf download nvidia/Nemotron-3.5-Parse

Files and context on NVIDIA B300

Each file of Nemotron-3.5-Parse (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 B300 Context (16-bit)Context (8-bit)
As published2.52 GBFits16K16K
4-bit (estimate)355 MBFits16K16K

Nemotron-3.5-Parse on other hardware

Popular models that run on NVIDIA B300

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.