STMicroelectronics STM32Cube.AI Developer Cloud

STMicroelectronics has launched the STM32Cube.AI Developer Cloud, a set of tools and services to get AI technology on the market faster and with less complexity by aiding hardware and software decision-making. The MCU Edge-AI Developer Cloud is designed to open access to a suite of online development tools built around the STM32 family of microcontrollers (MCUs).

The AI Developer Cloud is designed to work hand in glove with the STM32Cube.AI ecosystem, bringing the possibility to remotely benchmark models on STM32 hardware through the cloud to save on workload and cost. Serving the growing demand for edge AI-based systems, the desktop front-end includes the resources for developers to validate and generate optimised STM32 AI libraries from trained Neural Networks. This is complemented by the STM32Cube.AI Developer Cloud, an online version of the tool that features an online interface to generate C-code for STM32 microcontrollers, without requiring prior software installation. Data scientists and developers can benefit from the Neural Network optimisation performance to develop edge-AI projects.

The online platform also provides access to the STM32 model zoo, a repository of trainable deep-learning models and demos to speed application development. It also provides access to an online benchmarking service for edge-AI Neural Networks on STM32 boards. The cloud-accessible board farm features a range of STM32 boards, refreshed regularly, allowing data scientists and developers to remotely measure the actual performance of the optimised models.

The online platform is freely available to registered MyST users and has been undergoing testing and evaluation by several embedded development customers.