Any Developer.
Any Workflow.
Anyscale.
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.
We believe that every developer and every team should be able to succeed with AI without worrying about building and managing infrastructure.
Make scalable computing effortless
Build the future of distributed computing for AI and ML workflows
We developed Ray, an open source project, at the UC Berkeley RISELab to solve ML and AI scaling challenges.
To make the toughest problems in distributed computing even easier for developers to solve, we built Anyscale: a fully-managed compute platform for Ray.
Fast forward to today, where developers at industry leaders like Uber, OpenAI, Shopify, and Amazon are building their next-generation ML platforms using Ray. And we’re going to keep building—because the future of computing is distributed.
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