Managing MLOps at Scale in OpenShift/Kubernetes

Explore a comprehensive conference talk on managing MLOps at scale in OpenShift and Kubernetes environments. Discover how data scientists and developers can efficiently productize AI/ML models using open-source projects like KServe, Codeflare, and OpenDataHub. Learn about cost-effective and agile approaches to accelerate AI/ML adoption without infrastructure concerns or public cloud vendor lock-in. Gain insights into OpenDataHub's capabilities for rapid MLOps adoption and deployment of integrated open-source and third-party tools for AI/ML modeling in a managed cloud service. Witness a practical demonstration of training, deploying, and operating AI/ML models using popular libraries and frameworks. Delivered by Roberto Carratalá at DevConf.CZ 2024, this 30-minute session provides valuable knowledge for organizations seeking to implement AI as a service and streamline their MLOps processes.