MCU comes with custom NPU capable of 600 GOPS
Summary
The STM32N6 is also the first STM32 MCU to embed the ST Neural-ART accelerator, STMicroelectronics in-house developed neural processing unit (NPU) engineered for power-efficient edge AI applications. A dedicated computer vision pipeline with a MIPI CSI-2 interface and image signal processing (ISP) ensures compatibility with a wide range of cameras, the MCUs also feature a H264 hardware encoder and the NeoChrom Accelerator for graphics, making it suitable for feature-rich products. Offering 4.2 Mbytes of contiguous embedded RAM, the STM32N6 family is ideal for neural networks or graphics applications, complemented by high-speed external memory interfaces (hexa-SPI, OCTOSPI, FMC). It starts with ST EdgeAI Suite, a repository of free software tools, use cases, and documentation that help developers create AI for the Intelligent Edge, regardless of their experience level. For instance, developers can use STM32Cube.AI in conjunction with NVIDIA TAO Toolkit, the AWS STM32 ML at the Edge Accelerator, or experience STMicroelectronics model zoo on Hugging Face, which is hosting an increasing number of STM32 AI content.