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
           

 

 

  

Nordic Edge AI Lab

Nordic Edge AI Lab is your gateway to ultra-efficient edge intelligence. In the Edge AI Lab, you can create high-performance AI models ready to deploy on Nordic’s ultra-low-power SoCs, for both CPU-run and NPU-accelerated edge AI. 

Choose between three different paths for edge AI model creation: 

  • Custom Neuton models - Ultra-efficient CPU-run edge AI for any Nordic SoC

  • Text-to-wake-word - No-data generation of wake word models for Axon NPU

  • Model builder for Axon NPU - Build models with your custom dataset and architecture


 Documentation for the Edge AI Lab is available here.

Go to the Nordic Edge AI Lab

Build your own

Gesture recognition remote control

For a hands-on example, you can follow our guide to recreate our gesture recognition remote control, using the Nordic Thingy:53.