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2min chapter
Andrew Feldman: Cerebras and AI Hardware
The Gradient: Perspectives on AI
Using Distributed Computing to Train Large Models
When you get to about a billion parameters, everybody is running data parallel and then bang, you run into model parallel. And that's why just getting one of these networks to train is a publication. I mean, how silly is that if you step back? This ought to be as easy as selling chicken dinners. If you have 6 or 8 million for infrastructure, RBS can be. It ought not to take months. Right?
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