Managing Ray clusters and workloads on Kubernetes can be challenging. KubeRay provides an open-source toolkit to manage the lifecycle of Ray clusters and simplify the deployment process of Ray Applications on Kubernetes. In this talk, we will talk about:
How KubeRay integrates with the Kubernetes ecosystem? (e.g. observability, ingress, prototyping, scheduling)
What capabilities exist in KubeRay? (e.g. autoscaling, fault-tolerance, high-available serving deployment, batch job)
Kai-Hsun Chen is a software engineer on KubeRay at Anyscale. He is a committer and PMC member in Apache Submarine. Additionally, he is an interdisciplinary researcher with publications span from electrical design automation, distributed computing, to system reliability.
Archit Kulkarni is a software engineer at Anyscale working on Ray and KubeRay. Prior to Anyscale, he was a PhD student at UC Berkeley.
Come connect with the global community of thinkers and disruptors who are building and deploying the next generation of AI and ML applications.