- In the Amazon SageMaker AI console, select
Deployments & inference->Deployable modelsfrom the left menu. Select the model again, and then selectCreate endpoint:
- Enter a name, such as
xgboost-bank, and selectUse an existing endpoint configuration:
- Select the endpoint configuration created in the previous step, and then select
Select endpoint configuration:
- Leave the remaining settings at their default values and select
Create endpoint.
Wait until the endpoint status changes to InService. The model is then deployed to the endpoint and can be used by client applications.
Warning
A real-time endpoint incurs charges while it is running. Delete the endpoint when you no longer need it.