Segger supports ST’s AI microcontroller

Segger is Germany has announced support for the STM32N6, STMicroelectronics first microcontroller with a neural processing unit (NPU) for AI and machine learning designs.

A wide range of Segger’s industry-leading tools, such as the J-Link and J-Trace debug and trace probes, Flasher in-system programmers, SystemView real-time analysis tool, embOS real-time operating system, and emWin graphics library are fully optimized for the STM32N6 launched this week.

This enables developers to create, build, debug, verify, and program applications on the STM32N6 enables use of machine-learning applications that previously required an accelerated microprocessor to run by using the Neural-ART Accelerator 600 GOPS NPU. In addition, with its 800 MHz ARM Cortex-M55 core and 4.2 MB of embedded RAM, the STM32N6 delivers optimized performance as well as flexibility for a wide range of applications.

“The STM32N6 represents a significant step forward in microcontroller technology, and SEGGER is committed to providing the tools developers need to unlock its full potential,” says Dirk Akemann, Head of Technical Marketing at SEGGER. “By offering full support for the STM32N6 at the time of its launch, we make it easier than ever for engineers to develop solutions efficiently and effectively, including for AI applications.”