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Find or build an AI@Edge Device

Find existing hardware and developer kits, or use resources and best practices to build intelligent edge capable hardware

Build an AI/ML model

Take advantage of the faster inference times an AI@Edge device offers by learning more about ML models, the ML frameworks supported by different devices, and the tools used for training models

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Ready to go? Get started with concrete examples that provide you an example of running AI model in a device

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What is AI@Edge?

See how a device taking advantage of AI@Edge differs from a traditional IoT device

Get started with ONNX

ONNX is an open format to represent both deep learning and traditional models. ONNX helps to solve the challenge of hardware dependency related to AI models and enables deploying same AI models to several HW accelerated targets

Operate and maintain an AI@Edge solution

To take advantage of the fast turn around, offine capabilities and filtered data AI@Edge devices offer, Azure IoT Edge helps containerize, deploy, and manage cloud services

Become part of the community

Join the AI@Edge community

Hear the latest solution and services news for Azure and Windows IoT, share your thoughts, and get help from the community

Participate in Live Events

Learn about in-person events and conferences covering AI@Edge

Dial in to calls

Join bi-weekly Intelligent Edge Brief calls