We're the team behind Ray, building a platform that makes distributed computing accessible to every developer. We started this journey because we saw how hard it was for teams to scale their AI and machine learning workloads - moving from a laptop prototype to production often meant hiring specialized infrastructure engineers and dealing with complex distributed systems challenges. That's not how it should be.
Our platform lets developers build, debug, and deploy AI applications using the same code from development to production, whether running on a single machine or across hundreds of nodes. Companies like OpenAI, Uber, Shopify, and Amazon use Ray to power their ML platforms. We're focused on removing the friction between having an AI idea and actually deploying it, so you can spend your time solving problems rather than managing infrastructure.