Building Scalable AI Infrastructure with KubeRay and Kubernetes

Explore an in-depth conference talk from Ray Summit 2024 where Google's Andrew Sy Kim and Anyscale's Kai-Hsun Chen, both KubeRay maintainers, demonstrate how to scale generative AI workloads using KubeRay and Kubernetes. Learn about the lightweight and flexible integration solutions for diverse AI infrastructure requirements, including essential features for training and fine-tuning such as gang scheduling, distributed checkpointing, and retries. Discover how KubeRay supports both online and offline inference through Ray Autoscaler and fault tolerance, while maintaining compatibility with various hardware accelerators including GPUs, TPUs, and CPUs. Gain insights into recent KubeRay project updates and developments, with special attention to Kubernetes community enhancements like hierarchical scheduling and dynamic resource allocation (DRA), showcasing the powerful combination of KubeRay and Kubernetes for scaling AI infrastructure across multi-cloud, production environments.