Edge AI

Your data. Your model. Your edge.

From saving bandwidth and energy to more responsive real-time performance, implementing AI in your embedded applications offers massive benefits beyond the buzzwords. Nordic Semiconductor offers two unique technologies, Neuton models and Axon NPU, exclusively to our customers, to cover the industry's broadest range of devices, applications, and customer needs.

 Neuton models

  

Axon NPU
Custom Neuton models are ultra-tiny edge AI models built from your data using our patented network-growing algorithm, ideal for running edge AI on any Nordic SoC or SiP using its main application core (CPU).    The Axon NPU is our dedicated AI accelerator core, designed to increase the speed and efficiency of TensorFlow Lite models, built into our most capable SoCs. 
 Neuton_Logo_horizontal_Gradient_RGB.png    Axon_Logo_horizontal_Gradient_RGB copy.png
     
     

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Smaller memory footprint than TensorFlow Lite models Faster and more energy efficicent than running TensorFlow Lite models on the CPU  Average memory footprint of custom Neuton models created with our framework    Faster and more energy efficient than running the same TensorFlow Lite model on the CPU  More energy efficient compared to the closest competing product Faster inference compared to the closest competing product
           

 

 

  

Edge AI Add-on

For the nRF Connect SDK

The Edge AI Add-on for nRF Connect SDK adds all the necessary components to take advantage of the Axon NPU, as well as to integrate both custom Neuton models and models for Axon NPU in your application. The Add-on includes the common nRF Edge AI Library for inference on both CPU and NPU, drivers for Axon NPU, the Axon NPU compiler, as well as example applications showing the use of the library's APIs.

Documentation for the Edge AI Add-on is available here

Download the Edge AI Add-on

General software development

nRF Connect SDK

nRF Connect SDK is a common software development kit for Bluetooth Low Energy, Wi-Fi, cellular IoT, Bluetooth mesh, Thread, Zigbee and Matter. It supports all our nRF52, nRF53, nRF54L, nRF70 and nRF91 Series wireless devices.

 
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nRF Connect for VS Code

nRF Connect for VS Code lets you develop, build, and debug applications based on the nRF Connect SDK using the VS Code Integrated Development Environment (IDE).

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ML Studio

Our Edge Impulse implementation

ML Studio is Nordic's alternative for creating embedded ML models based on the Edge Impulse platform

Go to ML Studio