As more teams scale open source AI on secure, governed infrastructure, Ray has become critical across the full AI lifecycle, from data curation to production serving and reinforcement learning. Ahead of PyTorch Conference North America 2026 in San Jose, we put together a guide highlighting key Ray-focused sessions on the schedule. Featured speakers include: Anyscale /@databricks / @UCBerkeley : Ion Stoica @anyscalecompute : Eric Tang, Sumanth Hedge, Josh Lee, Mengjin Yan @Google : Ankita Luthra, Trinadh Kotturu, Jago Macleod @LinkedIn : Tao Huang, Tommy Li @Pinterest : Gaurav Arora, Shunyao Li, Eric Wang @Uber : Ke Chen, Peng Zhang, Xandra Zhu University of Minnesota (@UMNews) : Arun Sharma Explore engineering takeaways from these technical sessions where you will learn about unified AI orchestration with Kubernetes, elastic training stacks, and scalable RL. Read the full guide and map out your schedule: Register for PyTorch Conference North America: