Machine learning and AI are urgent competitive necessities, but companies struggle with scale, production, and expertise. With Ray and Anyscale, developers of all skill levels can easily build applications that run at any scale, from a laptop to a data center.
First there was Ray, an open source project from the UC Berkeley RISELab. Ray came out of our experience with the scaling challenges around machine learning and AI. From there, we built a fully managed platform for Ray to make the toughest problems in distributed computing easier for developers. That’s Anyscale.
Every developer and every team should be able to succeed with AI without worrying about building and managing infrastructure. To make that possible, we aim to remove distributed systems expertise from the critical path of realizing the business potential of AI.
We’re thrilled to see how far the Ray project has come. Now, developers at industry leaders like Uber, OpenAI, Shopify, and Amazon are building their next-generation machine learning platforms using Ray. And we’re going to keep building — because the future of computing is distributed.
We are backed and advised by some of the best names in the industry, including Andreessen Horowitz and New Enterprise Associates.
If you’re excited about enabling every developer and every organization to succeed with AI, come join us! We’re hiring across every function, and we are just getting started.
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