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Discover how to transform your container registry into a powerful ML model distribution system using the open-source CNCF KitOps project in this 15-minute conference talk. Learn to leverage OCI Artifacts for packaging large-scale ML models (100GB+), datasets, and code into secure, versioned bundles that seamlessly integrate with popular platforms like Kserve, KubeFlow, and existing CI/CD pipelines. Explore practical techniques for transitioning MLFlow experiments to production Kubernetes clusters using simple YAML configurations, all without requiring additional infrastructure investments. Gain insights into establishing control and order in enterprise AI/ML workflows by utilizing your existing container registry infrastructure more effectively.
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