Can I run JiRackUltra_14b on an NVIDIA H100?

Yes

Its published weights (29.5 GB) fit in the 72.0 GB an NVIDIA H100 can use, with room for ≈ 128K tokens of context.

Full analysis of JiRackUltra_14b Everything that runs on NVIDIA H100 Get the weights on Hugging Face

hf download CMSManhattan/JiRackUltra_14b

Files and context on NVIDIA H100

Each file of JiRackUltra_14b (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	29.5 GB	Fits	128K	128K
4-bit (estimate)	8.31 GB	Fits	128K	128K

JiRackUltra_14b on other hardware

NVIDIA H100Yes
RTX 5090Probably, at 4-bit
RTX 4090Probably, at 4-bit
RTX 3090Probably, at 4-bit
RTX 5060 Ti 16 GBProbably, at 4-bit
RTX 3060 12 GBProbably, at 4-bit
RTX 4060No
Mac with 32 GBProbably, at 4-bit
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.