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AI/ML Lifecycle Automation at the Edge
Edge locations often lack extensive dedicated IT support, requiring architectures that are resilient and simple, with operations that are automated and need minimal human intervention. In this demo we will use some of the components of Red Hat OpenShift AI to automate the lifecycle of artificial intelligence models at the edge, thanks to the model serving and pipelines features.To automate the AI/ML lifecycle we need to start by enabling some of the components during the Red Hat OpenShift AI installation

AI/ML Lifecycle Automation at the Edge