This will enable cost-sensitive, power-conscious consumer and industrial products to provide high-performance features leveraging computer vision, audio processing, sound analysis and other algorithms, that were until now beyond the capabilities of small embedded systems and that would otherwise have had to require larger computers or data centres.
The STM32N6 microcontroller (MCU) series is ST’s most powerful to date, and the first to embed ST’s proprietary neural processing unit (NPU), the Neural-ART Accelerator, delivering 600 times more machine-learning performance than the company’s existing high-end STM32 MCU.
The STM32N6 has been available to selected customers since October 2023 and is now ready to be offered in high volumes.
“We are on the verge of a significant transformation at the tiny edge. This transformation involves the increasing augmentation or replacement of our customers' workloads by AI models. Currently, these models are used for tasks such as segmentation, classification, and recognition. In the future, they will be applied to new applications yet to be developed,” said Remi El-Ouazzane, President, Microcontrollers, Digital ICs and RF Products Group (MDRF) at STMicroelectronics.
“The STM32N6 is the first STM32 product to feature our Neural-ART Accelerator NPU. It will utilise a new release of our unique AI software ecosystem package. This marks the beginning of a long journey of AI hardware-accelerated STM32, which will enable innovations in applications and products in ways not possible with any other embedded processing solution.”
“It is a common misconception that AI is purely a big datacentre, power hungry application,” explained Tom Hackenberg, Principal Analyst, Memory and Computing Group at Yole Group. “This is no longer true. Today’s IoT edge applications are hungry for the kind of analytics that AI can provide. The STM32N6 is an example of the new trend melding energy-efficient microcontroller workloads with the power of AI analytics to provide computer vision and mass sensor driven performance capable of great savings in the total cost of ownership in modern equipment.”
