Building Edge AI Stack and AI-as-a-Service in Cloud Native Way

Building Edge AI Stack and AI-as-a-Service in Cloud Native Way

Explore the architecture and implementation of edge AI stack and AI-as-a-Service in a cloud-native environment. Delve into the KubeEdge architecture, Akraino KubeEdge Edge Service Blueprint, and ML offloading functional block diagram. Examine use cases for device app ML model inference offloading workflows and address edge AI challenges. Learn about the KubeEdge-AIService architecture and edge-cloud collaborative techniques such as joint inference, incremental learning, and federated learning. Gain insights into developer perspectives on joint inference and federated learning, as well as resource information for building robust edge AI solutions.