RK3588 Industrial Board Manufacturers

RK3568 Core Board, the quad-core 64-bit Cortex-A55 processor, with 22nm lithography process, has frequency up to 2.0GHz, delivering efficient and stable performance for data processing of back-end equipment. There are a variety of storage options, allowing customers to quickly implement the research and production of products. It supports up to 8GB RAM, with up to 32Bit width and frequency up to 1600MHz. It supports all-data-link ECC, making data safer and more reliable, and meeting the requirements of running large-memory products application. It is integrated with dual-core GPU, high-performance VPU and high-efficiency NPU. The GPU supports OpenGL ES3.2/2.0/1.1, Vulkan1.1. The VPU can achieve 4K 60fps H.265/H.264/VP9 video decoding and 1080P 100fps H.265/ H.264 video encoding. The NPU supports one-click switching of mainstream frameworks like Caffe/TensorFlow.

RV1126 system on module takes Low-consumption AI vision processor Rockchip RV1126, with 14nm lithography process and quad-core 32-bit ARM Cortex-A7 architecture, integrates NEON and FPU — the frequency is up to 1.5GHz.

Thinkcore is a leading China RK3568 Drawing Board Computer manufacturers, suppliers and exporter.

Thinkcore is a leading China Rockchip RK3568 Atom Embedded Board manufacturers, suppliers and exporter.

RK3568 Board to Board Motherboard computer open source RK3568 motherboard for linux and android. Thinkcore Technology Co., Ltd. is a technical enterprise focusing on embedded hardware research and development, design, production, and sales. We supply high-quality RK3566 single-board computers. We are expecting to become your long-term partner in China.

The Rockchip RK3576 System on Module (SOM) is a high-performance, industrial-grade embedded solution designed to empower a wide range of intelligent edge devices. Built on Rockchip's advanced processor technology, this compact and integrated SOM delivers exceptional computing power, robust AI inference capabilities, and reliable multimedia performance, making it an ideal choice for industrial automation, AIoT, and embedded intelligent systems.