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Easily deploy your machine learning model as an API endpoint in a few simple steps. Stop worrying about Kubernetes, Docker, and framework headaches.
Select an existing model or upload a new model from the interface or CLI.
Choose from your preferred runtime eg TensorFlow Serving, Flask, etc.
Set instance, types, autoscaling behavior, and other parameters. Click deploy!