Demo of Kubernetes at the Edge for AI Model Deployments

Explore a comprehensive demonstration of Kubernetes at the Edge for AI Model Deployments in this informative conference talk. Discover how to tackle unique challenges faced by MLOps Engineers focused on AI at the edge, including managing distributed architectures across hybrid environments, handling data produced at the edge, and deploying to disconnected far edge locations. Learn about various deployment patterns and how to select the best options for your specific industry and use case. Witness a live demo showcasing the use of Kubernetes, Open Data Hub, MLOps pipelines, Open Cluster Management, and OpenTelemetry to deploy models to the edge and efficiently gather, store, and forward key metrics to a central hub. Gain valuable insights to help you make informed decisions about AI deployments at the edge and optimize your MLOps strategies.