Category: Deployment, Business, Kubernetes, Infrastructure, machine-learning

About 10 months ago, a few of us began working on our model serving infrastructure. We wanted to build a tool that would take a trained model and turn it into a production web service, without us having to write glue code or wrangle AWS/Kubernetes for each deployment.

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