STMicroelectronics unveils world’s first MCU EdgeAI Developer Cloud

Advantages embody entry to on-line service to benchmark
edge-AI fashions on STM32 boards

Geneva, Switzerland, January 30, 2023 – STMicroelectronics (NYSE: STM), a worldwide semiconductor chief serving clients throughout the spectrum of electronics functions, is constant to broaden its options for embedded AI builders and information scientists with a brand new, industry-first set of instruments and providers to get edge AI know-how available on the market quicker and with much less complexity by aiding {hardware} and software program decision-making. The STM32Cube.AI Developer Cloud opens entry to an intensive suite of on-line improvement instruments constructed across the industry-leading STM32 household of microcontrollers (MCUs).

“Our goal is to deliver the best hardware, software, and services to meet the challenges faced by embedded developers and data scientists so that they can develop their edge AI application faster and with less hassle,” stated Ricardo De Sa Earp, Govt Vice President
Common-Function Microcontroller Sub-Group, STMicroelectronics. “Today we are unveiling the world’s first MCU AI Developer Cloud, which works hand-in-glove with our STM32Cube.AI ecosystem. This new tool brings 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 STM32Cube.AI desktop front-end includes the resources for developers to validate and generate optimized STM32 AI libraries from trained Neural Networks. This is now complemented by the STM32Cube.AI Developer Cloud, an online version of the tool, delivering a range of industry-firsts:

  • An online interface to generate optimized C-code for STM32 microcontrollers, without requiring prior software installation. Data Scientists and developers benefit from the STM32Cube.AI’s proven Neural Network optimization performance to develop edge-AI projects.
  • Access to the STM32 model zoo, a repository of trainable deep-learning models and demos to speed application development. At launch, available use cases include human motion sensing for activity recognition and tracking, computer vision for image classification or object detection, audio event detection for audio classification, and more. Hosted on GitHub, these enable the automatic generation of “getting started” packages optimized for STM32.
  • Entry to the world’s first on-line benchmarking service for edge-AI Neural Networks on STM32 boards. The cloud-accessible board farm contains a broad vary of STM32 boards, refreshed often, permitting information scientists and builders to remotely measure the precise efficiency of the optimized fashions.

STM32Cube.AI Developer Cloud [] is now freely obtainable to registered MyST customers.

The software has been present process testing and analysis by a number of embedded improvement clients.

“We have used STM32Cube.AI in the past with great success. It has allowed us to implement high-performing AI applications running on low-cost MCUs. Today we are glad to see that this product is further evolving by offering an online interface. This will allow us to evaluate performance of the AI models and choose a proper hardware architecture earlier in the process so we can converge more quickly on the development of AI applications. Overall, we are very happy with the services and support the ST AI team has been providing to us.”
Toly Kotlarsky, Distinguished Member Technical Workers, R&D, Zebra Applied sciences Company

“The Model zoo, STM32Cube.AI online interface, and remote benchmarking capabilities on STM32 boards makes it easier for our data scientists with various hardware knowledge to evaluate embeddability of AI models into our products’ microcontrollers. Additionally, being capable of testing our models on several STM32 microcontrollers in a few clicks enables us to consider embedded AI processing at an earlier stage in the design process and to take advantage of it to design advanced features.”
Didier PELLEGRIN, VP AI Anticipation and Strategy, Schneider Electric

“The STM32Cube.AI Developer Cloud offers a simple approach for our information scientists and embedded builders to collaborate and share their information on embedded neural networks, which helps streamline our improvement course of. The benchmarking function additionally permits our information scientists to make sure that the fashions they create will run easily on microcontrollers. This
permits us to stay aggressive and supply one of the best options to our clients.”
Johan A. Simonsson, Director AI Ideation & Research, Husqvarna Group AI Labs

“Because of STM32Cube.AI Developer Cloud, we are able to affirm in a really brief time the validity of our method to create a product with embedded AI. With the board farm we’re capable of affirm that our mannequin works on a microcontroller. We’re additionally in a position to decide on essentially the most applicable STM32 by performing a distant benchmark on totally different STM32 boards. Total, this addition to STM32Cube.AI is actually welcome and can enable us to make extra revolutionary merchandise sooner or later.”
Serge Robin, Microcontroller & Digital Components Expert Engineer, Somfy

“The usage of the STM32 Mannequin zoo can vastly ease machine-learning (ML) workflow and considerably shorten time to market by offering a set of pre-trained fashions for STM32 microcontrollers that may be simply accessed and built-in into a brand new venture, lowering the necessity for time-consuming coaching and experimentation.”
Stephane Henry, Executive VP R&D, Lacroix

“We’ve been using the STM32Cube.AI from its early days and integrated the CLI in our development pipeline. The newest cloud-based REST API, with its Python wrapper/module, is going to dramatically lower the complexity of our CI/CD tooling maintenance. Combined with the exciting Model zoo, this new service is going to save time & empower our developers.”
Sylvain Bernard, CEO, SIANA Systems


About STMicroelectronics
At ST, we’re greater than 50,000 creators and makers of semiconductor applied sciences mastering the semiconductor provide chain with state-of-the-art manufacturing amenities. An built-in system producer, we work with greater than 200,000 clients and hundreds of companions to design and construct merchandise, options, and ecosystems that deal with their challenges and alternatives, and the necessity to assist a extra sustainable world. Our applied sciences allow smarter mobility, extra environment friendly energy and vitality administration, and the wide-scale deployment of the Web of Issues and connectivity. ST is dedicated to turning into carbon impartial by 2027. Additional data may be discovered at

For Press Info Contact:

Michael Markowitz
Tel: +1 781 591 0354

  • P4512S — Jan 30 2023 — STM32Cube.AI Developer Cloud_FINAL FOR PUBLICATION
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The Obsessed Guy
Hi, I'm The Obsessed Guy and I am passionate about artificial intelligence. I have spent years studying and working in the field, and I am fascinated by the potential of machine learning, deep learning, and natural language processing. I love exploring how these technologies are being used to solve real-world problems and am always eager to learn more. In my spare time, you can find me tinkering with neural networks and reading about the latest AI research.


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