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by grandma_tea 755 days ago
I tried to find the source of the 29% figure, but it's defined as data center usage. I understand machine learning is resource intensive but how much is it really? Are the numbers for this available to the public?
1 comments

It's matrix multiplication being done as fast as possible. On local machines the best proxy for useful gpu load for training is power draw.
Perhaps my question was worded poorly. I'm saying is: the premise of the article is wrong. It attributes the 29% figure to AI but the source attributes the 29% to new datacenters. It seems unlikely to me that 100% of new datacenter usage would go to AI.