Ray is one of those tools that quietly powers a lot of serious ML infrastructure - if you've ever wondered how teams scale from prototyping on a laptop to distributed training across clusters, this is a solid intro. Part 1 of a Towards Data Science series breaking down the fundamentals.
Ray is one of those tools that quietly powers a lot of serious ML infrastructure - if you've ever wondered how teams scale from prototyping on a laptop to distributed training across clusters, this is a solid intro. Part 1 of a Towards Data Science series breaking down the fundamentals. 🔧
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