This chapter explores the origins of Nvidia and how they transitioned from gaming GPU cards to powerful hardware for training models. It discusses the parallel architecture of graphics and its application in AI, as well as other specialized hardware for AI. The chapter concludes with a discussion on using Python to run and scale across different hardware.
In this supper club episode of Syntax, Wes and Scott talk with Chris Lattner about Mojo, a new programming language for AI developers. Should developers learn Python? Where does Mojo run? What is Chris excited about in AI’s future?
Show Notes
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