This session will show how to integrate KubeEdge with vCluster to build scalable edge infrastructure that supports real-time AI processing while reducing operational costs. Through practical demonstrations, attendees will learn to implement secure workload isolation, manage network policies, and optimize resource allocation across multiple virtual clusters. The talk will cover deploying AI agents at the edge, implementing efficient data collection pipelines, and ensuring reliable operations across distributed edge locations. Real-world performance metrics and architectural patterns will be shared to help organizations optimize their edge infrastructure costs while maintaining security and reliability. The solutions presented will benefit teams building large-scale edge deployments, particularly those that require isolated environments for different workloads or tenants, all while maximizing resource efficiency.