Open Source Summit Japan & Automotive Linux Summit 2020

Edge computing is becoming the way data is being handled to reduce unnecessary data transfer, better latency and data security considerations. To bring AI to the Edge and provide AI as a Service (AI-aaS), AI edge stack should provide Edge ML platforms, libraries, computing, and edge data platforms. This talk will describe how to build Cloud Native Edge Stack service framework based on Kubedge (a CNCF Sandbox project), providing an edge-cloud collaborative AI service. It shares the details of edge AI stack architecture and design, edge-cloud application deployment, collaborative model management, dataset management etc. The work is part of Akraino KubeEdge Service Blueprint open source project. A demo will be also detailed to show case mobile device offloading, collaborative training (aka federated learning) can be easily achieved using the stack. The future roadmap will also be shared.