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Can I run gemma-3-27b-it-int4-awq on an NVIDIA B300?

Yes

Its published weights (18.5 GB) fit in the 259 GB an NVIDIA B300 can use, with room for ≈ 463K tokens of context.

Full analysis of gemma-3-27b-it-int4-awq Everything that runs on NVIDIA B300 Get the weights on Hugging Face
hf download gaunernst/gemma-3-27b-it-int4-awq

Files and context on NVIDIA B300

Each file of gemma-3-27b-it-int4-awq (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 published18.5 GBFits463K926K
4-bit (estimate)15.4 GBFits469K937K

gemma-3-27b-it-int4-awq 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.