Endpoint definitions are used to setup auto-scaling REST endpoints for real-time predictions.


If you are doing batch predictions that could take multiple minutes to run, we recommend sticking with normal Valohai executions.

Technically, endpoint creates a group of Docker containers running HTTP servers deployed to a Kubernetes cluster. You can either use your own Kubernetes cluster or our clusters.

You can have multiple endpoints as a single project can have various inference requirements for different contexts e.g. various teams working on the project.


It is optional to use deployment endpoints in Valohai. You can also download the trained model and do more complex deployments. I would say it is even more common that people have custom deployments but Valohai deployment endpoints are especially excellent for quality assurance and testing.

See also

Read more about deployments from Deployments documentation page.