► ST Edge AI Developer Cloud (online)
Online tool for fast AI optimization and benchmark
ST Edge AI Developer Cloud is a free online service for developing AI on ST devices, offering tools for creation, optimization, and benchmarking. It leverages ST Edge AI Core technology and supports AI hardware acceleration (NPU) on compatible devices.
This tool integrates what was previously available in STM32Cube.AI Developer Cloud.
Main features
– Support of Neural-ART Accelerator NPU
– Board farm now includes STM32N6 and STM32MP2
– Online GUI secured by ST user credentials
– AI optimizer and visualizer
– STM32 model zoo with training scripts

Benchmark your AI models in few clicks
With ST Edge AI Developer Cloud, accessing an online platform for AI model optimization and remote benchmarking is as straightforward as logging in with your MyST credentials. Once inside, you’ll have the ability to fine-tune and test your AI models on a variety of genuine STM32 evaluation boards, all conveniently located and maintained at our facilities, ensuring you get real-world performance data for your projects.
An easy to use online platform
Create, optimize, and benchmark your neural network for a variety of ST devices. No software installation, no board required.
REST APIs – Seamless integration in your online workflow
All the services of the ST Edge AI Developer Cloud can be directly accessed online via a REST (Representational State Transfer) API. This makes it very easy to automate tasks or integrate the tool into your MLOps flow.
STM32 model zoo – Find the best edge AI model
The STM32 AI model zoo is a collection of pre-trained machine learning models that are optimized to run on STM32 microcontrollers. Available on GitHub, this is a valuable resource for anyone looking to add AI capabilities to their STM32-based projects.


Boost your application with ST Edge AI Developer Cloud
Using AI opens the door to new application possibilities! Discover inspiring real-world examples and use our resources to create your own application.
Get started with the Dev Cloud
Discover how to optimize your AI Neural Network and create processing libraries for your STM32 project

