AWS introduces Amazon SageMaker Edge Manager - Model Management for Edge Devices
Amazon SageMaker Edge Manager is a new feature of Amazon SageMaker that enables developers with the tools for model management across your fleets of edge devices so you can optimize, secure, monitor, and maintain machine learning models on fleets of edge devices such as smart cameras, robots, personal computers, and mobile devices.
Amazon SageMaker Edge Manager is a new feature of Amazon SageMaker that enables developers with the tools for model management across your fleets of edge devices so you can optimize, secure, monitor, and maintain machine learning models on fleets of edge devices such as smart cameras, robots, personal computers, and mobile devices.
SageMaker Edge Manager optimizes models to run faster on target devices and provides model management for edge devices, so customers can prepare, run, monitor, and update deployed machine learning models across fleets of devices at the edge. It gives customers the ability to cryptographically sign their models, upload prediction data from their devices to Amazon SageMaker for monitoring and analysis, and view a dashboard that tracks and visually reports on the operation of the deployed models within the Amazon SageMaker console. SageMaker Edge Manager extends capabilities that were previously only available in the cloud by sampling models’ input and output data from edge devices and sending it to the cloud, so developers can continuously improve model quality by using Amazon SageMaker Model Monitor for drift detection, then relabel the data and retrain the models.
You can use Amazon SageMaker Edge Manager in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), and Asia Pacific (Tokyo). To learn more and get started, visit the Amazon SageMaker Edge Manager product page.