Ray, an open-source distributed compute engine, is joining the PyTorch Foundation under the Linux Foundation to further expand its global community and meet the growing need for scalable AI infrastructure. Initially developed at UC Berkeley to address the challenges of scaling AI workloads across CPU and GPU clusters, Ray's adoption has dramatically increased, with the tool now powering AI workloads for major companies like Netflix, Apple, and JPMorgan. The surge in demand is largely attributed to advancements in generative AI and large language models, prompting Ray to become a pivotal component in the AI compute stack alongside other foundational open-source projects like PyTorch and Kubernetes. As Ray continues to build its community and enhance its offerings, its integration into the PyTorch Foundation marks a significant step in its journey towards becoming a standard in distributed AI computing.