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#381 – Chris Lattner: Future of Programming and AI
Lex Fridman Podcast
The Power of Distributed Deployment of Large Machine Learning Models
The modular compute platform dynamically partitions models with billions of parameters and distributes their execution across multiple machines. It enables unparalleled efficiency scale and reliability for the largest workloads. TensorFlow is kind of difficult to use for researchers, but it was actually pretty good for deployment. And so I think that we as an industry have been struggling.
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