Asynchronous Inference
Amazon SageMaker Asynchronous Inference is a new capability in SageMaker that queues incoming requests and processes them asynchronously. This option is ideal for requests with large payload sizes up to 1GB, long processing times, and near real-time latency requirements. Asynchronous Inference enables you to save on costs by autoscaling the instance count to zero when there are no requests to process, so you only pay when your endpoint is processing requests.
How It Works
Creating an asynchronous inference endpoint is similar to creating real-time inference
endpoints. You can use your existing SageMaker models and only need to specify the
AsyncInferenceConfig object while creating your endpoint configuration
with the EndpointConfig field in the CreateEndpointConfig API. To
invoke this endpoint, you need to place the request payload in Amazon S3 and provide
a
pointer to this payload as a part of the InvokeEndpointAsync request. Upon
invocation, SageMaker queues the request for processing and returns an identifier
and output
location as a response. Upon processing, SageMaker places the result in the Amazon
S3 location.
You can optionally choose to receive success or error notifications with Amazon SNS.
For more
information about how to set up asynchronous notifications, see Check Prediction Results.
The presence of an asynchronous inference configuration (AsyncInferenceConfig)
object in the endpoint configuration implies that the endpoint can only receive
asynchronous invocations.
How Do I Get Started?
If you are a first-time user of Amazon SageMaker Asynchronous Inference, we recommend that you do the following:
-
Read Create, Invoke, and Update an Asynchronous Endpoint for information on how to create, invoke, update, and delete an asynchronous endpoint.
-
Explore the Asynchronous Inference example notebook
in the aws/amazon-sagemaker-examples GitHub repository.
