As AI agents increasingly move from centralized cloud environments to the edge, managing their configuration and lifecycle across diverse, distributed infrastructures becomes a major challenge. This talk explores how CNCF projects support scalable multi-cluster configuration management for hybrid and edge AI workloads, enabling consistent and resilient operations across diverse environments. We’ll dive into patterns and best practices for deploying agents, models, and tools in connected and partially disconnected environments, addressing real-world constraints like intermittent connectivity and resource limitations. Attendees will leave with a robust architecture for hybrid edge AI, practical GitOps workflows for safe rollouts, and a clear decision framework for choosing the right multi-cluster tooling.

This talk is for engineers taking AI out of the datacenter and into the real world. Stop wrestling with bespoke scripts and learn to manage your agent swarm the cloud-native way.