SinoMicro focuses on deep customization services for Rockchip industrial-grade chips and Android& Linux systems. The company is committed to providing differentiated software and hardware customization services for AI intelligent hardware, edge computing, and vehicle networking terminal products.The company has customized automotive pre-installed central navigation systems for domestic and international brand Tier1 clients, covering multiple models from various car manufacturers both domestically and internationally, and has received widespread market recognition.Leveraging its development experience and quality requirements for automotive pre-installed products, the company expands into AI intelligent hardware and edge computing fields, having customized and mass-produced several intelligent hardware terminal products for industry clients, gradually expanding its business into industrial control, industrial Internet, smart cities, smart security, smart transportation, smart retail, online education, conference systems, and other intelligent hardware domains.SinoMicro has taken the lead in launching the AI edge computing motherboard based on the Rockchip RK3399+RK1808 architecture. The RK3399 is a high-performance processor with a dual Cortex-A72 + quad Cortex-A53 big.LITTLE CPU structure, with a main frequency of up to 1.8GHz, capable of supporting 4K 60fps VP9 and 4K 10bits H265/H264 video decoding, featuring rich peripheral interfaces and strong expandability.The RK1808 is an embedded neural network processor (NPU) with a dual-core A35 and a main frequency of 1.6GHz. The NPU computing power reaches 3.0TOPs, supporting PCI-e/USB3.0/RGMII. By connecting multiple RK1808 core boards, it can expand to a powerful 12T or even higher computing power, capable of structured recognition and analysis of video from multiple cameras and network cameras.The edge computing motherboard based on the Rockchip RK3399+RK1808 chip boasts robust computing power, rich input and output interfaces, and strong expandability. The PCB is designed with an 8-layer gold-plated process, offering excellent electrical characteristics and anti-interference properties, ensuring stable and reliable operation that meets industrial-grade standards. It can be widely applied in AI terminal fields such as smart cities, smart security, smart transportation, smart healthcare, and industrial Internet.
Chip Block Diagram
1.1 Platform Characteristics
- The Rockchip RK3399 uses a 28nm process and is based on a dual Cortex-A72 + quad Cortex-A53 big.LITTLE CPU structure, a 64-bit high-performance processor with a main frequency of up to 1.8GHz;
- RK1808: NPU co-Processor, Dual A35 1.6GHz, NPU 3.0TOPs, PCI-e/USB3.0/RGMII;
- The built-in NPU of the RK1808 can reach a maximum computing power of 3.0TOPs, supporting INT8/INT16/FP16 mixed operations, perfectly balancing performance, power consumption, and computing accuracy, and supports model conversion for frameworks such as TensorFlow, Caffe, ONNX, and Darknet.
- The RK3399 can be paired with N RK1808 core boards to form a high-performance AI acceleration cluster, with NPU computing power reaching N*3T, allowing for flexible selection of the number of RK1808s used according to product requirements, effectively controlling costs.
- Android 10.0 operating system;
- Four RK1808 core boards connected together provide 12TOPs of computing power, with the option to connect more for higher performance;
- Supports Gigabit Ethernet;
- Supports 2 HDMI OUT;
- Supports 1 HDMI IN;
- Supports 1 RJ45 interface;
- Supports 2 USB3.0;
- Supports 3 USB2.0;
- Supports 1 Type-C interface;
- Supports up to 4K ultra-clear display;
- Expandable support for instant-on and fast AV IN;
- Expandable support for dual-band dual-frequency WIFI;
- Expandable support for dual-screen display with dual touch;
- Supports 4GB LPDDR4 and 128G EMMC;
1.2 Product Specifications (some functions may be expandable)
Interface Dimensions
Mainboard Photo
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