AmpOhm360 Luckfox Core3576 Development Board Module Rockchip RK3576 Octa Core 2.2GHz 6 Tops NPU for IoT AI Edge Computing DIY Electronics SKU-27584
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0.30 kg
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Amazon
USA
- What's in the package(Note the model)Core357608064Default Core357608064. How to access Tutorials ①Search For 'Find Waveshare Product Manuals'on Youtube ②You'll learn 2 methods The Luckfox Core3576 Module is a high-performance, versatile development board designed for the next generation of IoT, AI at the edge, and sophisticated electronics projects. At its heart lies the Rockchip RK3576 octa-core processor, combining power and efficiency through its ARM big.LITTLE architecture. This, coupled with a dedicated 6 TOPS NPU, empowers developers to seamlessly integrate advanced AI capabilities like computer vision and object recognition into their designs. For multimedia applications, it boasts robust 4K video processing support and multiple display output options. The module's standout feature is its exceptional expandability. Through its SO-DIMM form factor and extensive I/O—including PCIe, SATA, USB, and numerous GPIOs for sensors—it serves as a cornerstone for custom electronics kits and complex systems. Waveshare is committed to providing capable platforms for the global maker and developer community. Whether you're building an industrial control host, a smart display, or experimenting with open-source AI, the Core3576 offers the computational power and flexibility to bring your innovative concepts to life. Note: The actual number of concurrently available interfaces may be subject to pin multiplexing constraints.
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【High-Performance Octa-Core Processor】Equipped with the powerful Rockchip RK3576 chip, featuring a big.LITTLE architecture with quad-core Cortex-A72 and quad-core Cortex-A53, delivering robust performance and high energy efficiency for demanding IoT and edge computing applications. 【Powerful 6 TOPS AI NPU】Integrated Neural Processing Unit provides 6 TOPS computing power, enabling efficient execution of AI models from frameworks like TensorFlow and PyTorch for tasks such as object recognition, face detection, and semantic segmentation. 【Advanced Multimedia & Connectivity】Supports 4K120fps video decoding and 4K60fps encoding.Features versatile outputs including HDMI2.1, MIPI DSI, and eDP, plus extensive expansion via PCIe, SATA3, USB 3.0, multiple GPIOs, I2C, and SPI for sensors and DIY projects. 【Flexible Development Platform】Adopts a SO-DIMM connector form factor with configurable RAM and eMMC options.Its rich interface set and open-source friendly design make it ideal for makers, developers, and industrial applications like smart displays and control systems. 【Versatile Application Scope】Perfect for edge computing, local AI model deployment, intelligent commercial displays, industrial PC hosts, automotive electronics, and custom electronics kits, offering a solid foundation for innovative open-source and professional projects.