Jui-An Huang
Software Engineer, Anyscale
Meet the Anyscale Team
Stop by booth #P317 to meet the creators of Ray and grab a limited edition Anyscale Tamagotchi.
Hear from the experts
Session
KubeRay 101
november 11, 2026 | 11:00AM - 11:30aM | salt palace | level 2 | 254
KubeRay is the Kubernetes-native operator for running Ray workloads, providing lifecycle management for Ray clusters, jobs, and production services on Kubernetes.
This Birds of a Feather session is an introduction to KubeRay led by members of the KubeRay Technical Steering Committee. We’ll cover the fundamentals of how KubeRay works, including its core RayCluster, RayJob, and RayService custom resources; common patterns for deploying and autoscaling distributed AI and machine learning workloads; and how KubeRay fits into the broader Kubernetes ecosystem.
The session will also be an opportunity to meet KubeRay maintainers, ask questions, discuss real-world deployment challenges, and learn how to get involved in the community. With KubeRay currently applying for donation to the CNCF, we’ll also discuss the project’s community and governance and what CNCF stewardship means for its next phase.
Richard Liaw
Product Manager, Anyscale
Mengjin Yan
Tech Lead Manager, Anyscale
Kai-Hsun Chen
Infrastructure Lead, hark
Andrew Sy Kim
Staff Software Engineer, Google
Session
The Scheduling Stack: Real-World Lessons from Anthropic, Anyscale, Google, and CERN
november 12, 2026 | 11:50aM - 12:20PM | salt palace | level 1 | grand ballroom h
For years, Kubernetes treated individual pods as scheduling units, complicating the execution of complex distributed systems. With the explosive growth of AI workloads, the ecosystem demands a smarter control plane.
In this panel, scheduling experts from Google, Anthropic, Anyscale and CERN will unpack the paradigm shift of Workload Aware Scheduling. By teaching core Kubernetes to natively understand higher-level application semantics, we are bridging the critical gap between the scheduler and higher-level frameworks. This upstream evolution is essential for optimizing resource sharing and performance in massive multi-tenant environments.
Our panelists will discuss how these foundational blocks enable a cohesive multi-layer scheduling stack.
Furthermore, we will explore how this crucial first step unlocks the next frontiers of orchestration including seamless disruption management and tighter integration with infrastructure autoscaling.
Robert Nishihara
Co-founder, Anyscale
Wojciech Tyczyński
Senior Staff Software Engineer, Google
Ricardo Rocha
Lead Platform Infrastructure, CERN
Kaslin Fields
Devrel Engineer, Google
Decheng Dai
member of technical staff, Anthroptic
