Ray Summit 2025 highlighted significant updates to the Anyscale Platform, focusing on enhancing developer velocity, cost efficiency, and production resilience. Key announcements included the introduction of Lineage Tracking, which integrates with MLflow, Weights & Biases, and Unity Catalog to provide developers with a clear visualization of data and model workflows, and the Anyscale Runtime, which offers a high-performance, cost-efficient engine for Ray-compatible workloads without requiring code changes. The summit also introduced Anyscale on Azure, a first-party offering that integrates with Azure infrastructure, and improvements in observability with new dashboards for Ray workloads. The Global Resource Scheduler and Multi-Resource Cloud (MRC) were launched to optimize resource utilization and job scheduling across cloud environments, facilitating AI development and deployment. Additionally, the Anyscale Cluster Controller was introduced to simplify cluster management, offering better governance and cost controls, while Custom Workspace Templates aim to streamline developer onboarding with reusable setups. These enhancements aim to improve scalability, performance, and reliability for AI teams using Ray and Anyscale across various cloud platforms.