PyTorch Conference 2026 guide highlights Ray sessions from Databricks, Google, Uber
PyTorch · x · 2026-10-01
PyTorch's official account announces that 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, they compiled a guide highlighting key Ray-focused sessions on the schedule.
Featured speakers include:
- Anyscale / Databricks / UC Berkeley: Ion Stoica
- Anyscale: 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: Arun Sharma
These technical sessions cover unified AI orchestration with Kubernetes, elastic training stacks, and scalable RL.
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