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Amazon SageMaker Edge enables machine learning on edge devices by optimizing, securing, and deploying models to the edge, and then monitoring these models on your fleet of devices, such as smart cameras, robots, and other smart-electronics, to reduce ongoing operational costs. Customers who train models in TensorFlow, MXNet, PyTorch, XGBoost, and TensorFlow Lite can use SageMaker Edge to improve their performance, deploy them on edge devices, and monitor their health throughout their lifecycle.

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