Understand deployments in MLOps

In H2O MLOps, deployments are created when model version(s) are served for scoring. Model endpoint security, artifact type, runtime, and Kubernetes options can be configured when deploying a model.

note

Champion/Challenger deployments and A/B testing are available through the Wave app UI and the H2O MLOps Python client. For more information on creating these deployment types with the H2O MLOps Python client, see Champion/Challenger deployment and A/B testing.

To learn more about deployments in H2O MLOps, refer to the following pages:

• Create a deployment

• View deployments

• Shapley values support

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