2min chapter

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#162 – Jim Keller: The Future of Computing, AI, Life, and Consciousness

Lex Fridman Podcast

CHAPTER

Graph Compiler Scaling

The hardware is built to do this and then we're in the process of. We have a big network on chip and then 16, the next second chip has 16 ethernet ports to help lots of them together. And it's the same graph compiler across multiple chips. So it's built to scale naturally. Now there's as the networks are evolving, you know, they've changed from convolutional to matrix multiply. If people are talking about conditional graphs, you're talking about very large matrices,.You're talking about sparsity. You're talking about problems that scale across many, many chips.

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