PyTorch发布Ray技术会议指南
PyTorch大会指南，看大厂如何用Ray做AI全生命周期管理
PyTorch为2026年北美大会发布Ray技术会议指南。Anyscale、Google、LinkedIn等公司将分享AI编排经验。会议将涵盖Kubernetes统一AI编排、弹性训练栈和可扩展强化学习内容。
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: https://t.co/nqk1MD3TV9
Register for PyTorch Conference North America: https://t.co/1USn92lIA5