Benefits of SageMaker Edge
Amazon SageMaker Edge features
Amazon SageMaker edge capabilities help you optimize, secure, monitor, and maintain ML models across fleets of edge devices.
Create Models
Build and refine models
The SageMaker Edge Agent allows you to capture data and metadata based on triggers that you set so that you can retrain your existing models with real-world data or build new models. Additionally, this data can be used to conduct your own analysis, such as model drift analysis.
Choice of deployment methods
We offer three options for deployment. GGv2 (~ size 100MB) is a fully integrated AWS IoT deployment mechanism. For those customers with a limited device capacity, we have a smaller built-in deployment mechanism within SageMaker edge capabilities. For customers who have a preferred deployment mechanism, we support third party mechanisms that can be plugged into our user flow.
Optimize ML models
Amazon SageMaker Edge Compiler automatically optimizes ML models for deployment on a wide variety of edge devices. SageMaker Edge Compiler compiles your trained model into an executable format that applies performance optimizations that can make your model run up to 25x faster on the target hardware.