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    Originally presented as a live workshop at MLOps World 2022, this talk includes a deep dive on building machine learning (ML) models into container images to run in production for inference. Based on our experience setting up ML container builds for many customers, we’ll share a set of best practices for ensuring secure, multi-tenant image builds that avoid lock-in, and we’ll also cover some tooling, chassis.ml and the Open Model Interface (OMI) standard to execute this process. Data scientists and developers will walk away with an understanding of the merits of a standard container specification that allows for interoperability, portability, and security for models to seamlessly be integrated into production applications.

    Modzy MLOps tech talk talk on building machine learning (ML) models into container images to run in production for inference