A wide range of SEGGER's 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 now fully optimised for the STM32N6.
They enable developers to create, build, debug, verify, and program applications with both speed and efficiency. SEGGER’s solutions are designed to ensure a smooth development process for even the most demanding embedded 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,” said 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.”
When equipped with ST's Neural-ART Accelerator 600 GOPS NPU, the STM32N6 enables use of machine-learning applications that previously required an accelerated microprocessor to run. In addition, with its 800 MHz ARM Cortex-M55 core and 4.2 MB of embedded RAM, the STM32N6 delivers optimised performance as well as flexibility for a wide range of applications.
