How to create an Asynchronous Inference Endpoint
Create an asynchronous endpoint the same way you would create an endpoint using SageMaker hosting services:
Create a model in SageMaker with
CreateModel.Create an endpoint configuration with
CreateEndpointConfig.Create an HTTPS endpoint with
CreateEndpoint.
To create an endpoint, you first create a model with CreateModel, where you point to the model artifact and a
Docker registry path (Image). You then create a configuration using CreateEndpointConfig where you specify one or more models
that were created using the CreateModel API to deploy and the resources that you want
SageMaker to provision. Create your endpoint with CreateEndpoint using the endpoint configuration specified
in the request. You can update an asynchronous endpoint with the UpdateEndpoint API. Send and receive inference requests
from the model hosted at the endpoint with InvokeEndpointAsync. You can
delete your endpoints with the DeleteEndpoint API.
For a full list of the available SageMaker Images,
see Available Deep Learning Containers Images
