The network bandwidth between nodes is a bigger limitation than compute. The newest Nvidia cards come with 400gbit busses now to communicate between them, even on a single motherboard.

Compared to SETI or Folding @Home, this would work glacially slow for AI models.

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fourthark 8 hours ago | parent [-]

Seems like training would be a better match, where you need tons of compute but don’t care about latency.

	▲	ronsor 34 minutes ago \| parent [-]
		No, the problem is that with training, you do care about latency, and you need a crap-ton of bandwidth too! Think of the all_gather; think of the gradients! Inference is actually easier to distribute.