K210Bs

The K210Bs are a series of integrated circuits developed by Kendryte. They are designed for edge computing applications, offering a combination of general-purpose processing and specialized AI acceleration capabilities. The core of the K210Bs is the RISC-V dual-core 64-bit processor, which provides flexibility for various tasks. Accompanying the CPU is a dedicated neural processing unit (NPU), also known as the Kendryte KPU, capable of performing deep learning inference at high speeds. This NPU is optimized for convolutional neural networks (CNNs), making the K210Bs well-suited for computer vision tasks.

The K210Bs are commonly found in embedded systems and development boards, targeting hobbyists, researchers, and engineers working on projects such as smart cameras, object detection systems, and intelligent sensor devices. They support a range of common deep learning frameworks and are often programmed using C/C++ or MicroPython. The chips typically include peripherals like SPI, I2C, UART, and GPIO for interfacing with external sensors and components. Their low power consumption and integrated AI capabilities make them an attractive option for battery-powered or resource-constrained edge devices. Several development boards are available, providing accessible platforms for prototyping and deploying applications based on the K210Bs.