Kata Containers 4.0 - Full Lifecycle GPU Management for AI/ML Workloads

Watch a 34-minute technical presentation exploring the upcoming Kata Containers 4.0 release, focusing on its groundbreaking full-lifecycle GPU management capabilities for AI/ML workloads. Learn about the evolution from Kata Containers 3.0's Dragonball VMM and runtime-rs to the new production-ready features in version 4.0. Discover how the unified framework leverages CDI (Container Device Interface) to streamline GPU resource management within Kubernetes environments, addressing key challenges faced by users running secure AI/ML workloads. Gain technical insights into CDI implementation details and explore practical use cases demonstrating how comprehensive GPU support optimizes AI/ML operations. Presented by Ya'nan Li and Chao Chao Wu from the OpenInfra Foundation, dive deep into the technical architecture and see firsthand demonstrations of how these new features enhance GPU acceleration capabilities for AI/ML initiatives.