ST Introduces World’s First MCU Edge AI Developer Cloud
The tool has been undergoing testing and evaluation by several embedded development customers.
STMicroelectronics has introduced world’s first MCU AI Developer Cloud, a set of tools and services to get edge AI technology on the market faster and with less complexity by aiding hardware and software decision-making.
The STM32Cube.AI Developer Cloud opens access to an extensive suite of online development tools built around the industry-leading STM32 family 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,” said Ricardo De Sa Earp, Executive Vice President, General-Purpose 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.
The tool has been undergoing testing and evaluation by several embedded development customers.
“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.” Said Toly Kotlarsky, Distinguished Member Technical Staff, R&D, Zebra Technologies Corporation
“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”, explained Didier PELLEGRIN, VP AI Anticipation and Strategy, Schneider Electric
“The STM32Cube.AI Developer Cloud provides an easy way for our data scientists and embedded developers to collaborate and share their knowledge on embedded neural networks, which helps streamline our development process. The benchmarking feature also enables our data scientists to ensure that the models they create will run smoothly on microcontrollers. This allows us to remain competitive and provide the best solutions to our customers.” Commented Johan A. Simonsson, Director AI Ideation & Research, Husqvarna Group AI Labs
“Thanks to STM32Cube.AI Developer Cloud, we can confirm in a very short time the validity of our approach to create a product with embedded AI. With the board farm we are able to confirm that our model works on a microcontroller. We are also able to choose the most appropriate STM32 by performing a remote benchmark on different STM32 boards. Overall, this addition to STM32Cube.AI is really welcome and will allow us to make more innovative products in the future”, said Serge Robin, Microcontroller & Digital Components Expert Engineer, Somfy.
