Containerizing machine learning models can be a pain. This talk covers a new open-source approach to building machine learning (ML) models into container images to run in production for inference. and the Open Model Interface are changing the game with a standard container specification that allows for interoperability, portability, and security for models to seamlessly be integrated into production applications.

This post has been republished by AIIA. To view the original video, please click HERE.