DevOps Articles

Tutorial: Deploying TensorFlow Models with Amazon SageMaker Serverless Infe

This guide is the last part of a series covering the Amazon SageMaker Studio Lab. JupyterLab is the only commonality between Studio Lab and Studio available from the AWS Console.

This tutorial will take the next step, and will show how to publish serverless inference endpoints for TensorFlow models. When you have a model trained within SageMaker Studio Lab or any other environment, you can host that model within the SageMaker Studio environment for inference at scale.

Step Defining SageMaker Serverless Inference Endpoint Configuration