Turn machine learning models into portable container images that can run just about anywhere.

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    Connecting to this service eliminates the need for you to deploy and stand up a private Kubernetes cluster. Each chassis build job run on our hosted service has enough resources to containerize even the most memory intensive ML models (up to 8GB RAM and 2 CPUs).

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