NengoEdge models are designed to be deployed in edge applications with constrained power and memory budgets. NengoEdge automates all the details of efficiently mapping your model on to low power edge devices, taking care of things like weight/activity quantization and op kernel selection in order to optimize power and resource usage.
NengoEdge takes care of all the complicated details involved in training and deploying models for edge hardware. It provides you with an easy to use interface that lets you control the things that matter, while NengoEdge takes care of the device-specific implementation under the hood. This gets you up and running with a minimum of in-house development time. NengoEdge also allows you to rapidly compare accuracy, power, and other metrics across devices, so you can find the best hardware for your application.
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