STM32Cube.AI Developer Cloud

Online tool for fast AI optimization and benchmark

STM32Cube.AI Developer Cloud is a free-of-charge online platform and services allowing the creation, optimization, benchmarking, and generation of AI for the STM32 microcontrollers. It is based on the STM32Cube.AI core technology.
Benefits include access to online service to benchmark AI on STM32 boards. It comes with the ST Model zoo including reference model, training script and application examples.

Main features

Online GUI secured by ST user credentials
AI optimizer and visualizer
AI benchmark service on various STM32
STM32 model zoo with training scripts Application code examples
Model quantization tool

An easy to use online platform

Create, optimize, and benchmark your neural network for STM32. No software installation, no board required.

Load NN model

Optimize NN model

Quantize

Benchmark

Results

Generate

Load a model from ST model zoo or own your trained model from your favorite AI framework: Tensorflow Lite, Pytorch, ONNX, scikit Learn, … Supported format are FLOAT32 or quantized INT8.

Select your preferred model optimization options between the RAM or latency most critical parameter.

STM32Cube.AI Developer Cloud screen capture

Perform post-training quantization to further reduce your NN model parameter size.

Access the online benchmark service to remotely evaluate your AI performance on various STM32 boards.

Visualize and optionally export the performance benchmark report.

Generate your optimized AI code in C-code or in a format compatible with the STM32CubeMX software suites.

REST APIs – Seamless integration in your online workflow

You can access all the services of the STM32Cube.AI Developer Cloud directly online via a REST (Representational State Transfer) API. This makes it very easy to automate tasks or integrate the tool into your MLOps flow.

Read the REST APIs’ documentation

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.

– A large collection of application-oriented models ready for re-training
– Scripts to easily retrain any model from user datasets
– Application code examples automatically generated from user AI model

Go to the STM32 model zoo

Boost your application with STM32Cube.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.

Browse use-cases