► Edge AI solutions for STM32
A broad collection of free tools
Whether you opt for Bring Your Own Data (BYOD) or Bring Your Own Model (BYOM) strategies, discover the optimal path to integrate artificial intelligence into your STM32 microcontroller (MCU) or microprocessor (MPU) systems.
Find the most suitable tool for your workflow
Effortlessly create ML libraries for embedded devices with access to a vast library of pre-built models (auto ML), enabling self-training without the need for extensive data collection.
► STM32Cube.AI (X-CUBE-AI)
Leverage your AI expertise to optimize neural networks and automatically generate C-code for STM32 microcontrollers, with both desktop and online access via the ST Edge AI Developer Cloud.
Utilize an online platform for benchmarking AI performance on STM32 boards and explore the STM32 model zoo. Complete with optimized AI models, application examples, and training scripts.
Integrate AI models seamlessly on your STM32 MPU with a comprehensive framework tailored for developers using OpenSTLinux.
Access a curated collection of optimized AI models, application examples, and training scripts, designed to accelerate development and deployment on STM32 microcontrollers and microprocessors.
STM32 hardware
HW solutions for Edge AI applications
We offer a wide range of microcontrollers, microprocessors and smart sensors to develop Edge AI applications with an optimized power consumption, footprint and cost