This new free tool replaces X-CUBE-AI as the desktop solution for preparing, optimizing, and validating AI models running on STM32 MCUs. It brings a unified workflow, improved performance evaluation, and a modern user experience that will benefit both embedded and ML engineers. STM32Cube AI Studio is fully compatible with the STM32Cube ecosystem, allowing a smooth transition from your existing projects.
A comprehensive collection of pre-trained machine learning models optimized for STM32 microcontrollers, complemented by numerous re-training and deployment scripts. Available on GitHub, this collection is ideal for seamlessly integrating AI into STM32-based projects.
Discover in 90 seconds how to seamlessly integrate AI in your STM32 MPU projects: Select, train, optimize and benchmark your AI model with AI tools Create and deploy your application with X-LINUX-AI See your model in action with the STM32 MPU evaluation board