Ray has joined the PyTorch Foundation as its latest project, aiming to simplify AI computing. This partnership comes amid increased industry investment in AI, highlighting the need for speed and efficiency in deploying AI programs. Ray, developed by Anyscale, is an open source distributed computing framework that allows engineering teams to manage workloads across various scales, from single machines to thousands of nodes, without the typical complexities of distributed systems. The framework supports diverse AI workloads, including data processing and model training, boasting over 237 million downloads and 39,000 GitHub stars since its inception. The integration of Ray with PyTorch and vLLM builds a comprehensive open-source AI stack. This trio enables teams to process large datasets, scale training across numerous GPUs, and deliver models efficiently in production. By contributing Ray to the PyTorch Foundation, Anyscale emphasizes its commitment to open governance and sustainability in the AI space. Key figures in the AI community, including Matt White from the Linux Foundation and leaders from Uber and Meta, have voiced strong support for Ray's inclusion, noting that this collaboration will enhance the tools available for developers and foster deeper connections within the ecosystem. Upcoming events like Ray Summit 2025 will further engage developers and contributors in the project. This foundation aims to provide a unified, community-driven environment for advancing AI technology without the constraints of proprietary systems.