Can I run GLM-5.3-Flash-GGUF-DGX-Spark on an NVIDIA B300?

Yes

Its GLM-5.3-Flash-Q2-DGX-Spark file (84.9 GB) fits in the 259 GB an NVIDIA B300 can use, with room for an unknown amount of context.

Full analysis of GLM-5.3-Flash-GGUF-DGX-Spark Everything that runs on NVIDIA B300 Get the GLM-5.3-Flash-Q2-DGX-Spark file on Hugging Face

llama-server -hf autotrust/GLM-5.3-Flash-GGUF-DGX-Spark

Files and context on NVIDIA B300

Each file of GLM-5.3-Flash-GGUF-DGX-Spark (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)
GLM-5.3-Flash-Q2-DGX-Spark	84.9 GB	Fits	not known	not known

GLM-5.3-Flash-GGUF-DGX-Spark on other hardware

NVIDIA B300Yes
NVIDIA H100No
RTX 5090No
RTX 4090No
RTX 3090No
RTX 5060 Ti 16 GBNo
RTX 3060 12 GBNo
RTX 4060No
Mac with 32 GBNo
Mac with 64 GBNo
Mac with 128 GBNo

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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.