Rk3588 linux board Manufacturers

Thinkcore Technology is a leading China RK3568/RK3568J Golden Finger Development Board manufacturers. Open source and SDK are provided for Rockchip RK3568 /RK3568J development board. Thinkcore Technology Co., Ltd. is a technical enterprise focusing on embedded hardware research and development, design, production and sales.

Thinkcore Technology Co., Ltd. is a technical enterprise focusing on embedded hardware research and development, design, production, and sales. We supply high-quality AI Allwinner H618 Development Board WiFi6+Bluetooth 5.0 Android Linux Motherboard computers. We are expecting to become your long-term partner in China.

Thinkcore Technology is a leading China Rockchip RK3566 Arm Single board computer with Gigabit manufacturer, supplier and exporter.
Open source Rockchip RK3566 SBC Single Board Computer motherboard Compatible with Raspberry pi
Thinkcore Technology Co., Ltd. is a technical enterprise focusing on embedded hardware research and development, design, production and sales.

Thinkcore Technology Co., Ltd. is a technical enterprise focusing on embedded hardware research and development, design, production, and sales. We supply high-quality Rockchip RK3528a Linux Motherboard Onboard SBC Board computers. We are expecting to become your long-term partner in China.

RK3566 Core Board TC-RK3566 Highlights 1: High performance CPU & GPU TC-RK3566 Highlights 2: New generation (3rd Gen) Rockchip ISP TC-RK3566 Highlight 3: Powerful multimedia decode/encode capability TC-RK3566 Highlight 4: Integrated efficient RKNN AI processing unit

TC-RK3568 Core board is a high-performance core board designed by Shenzhen Thinkcore based on the RK3568 micro processor of Rockchip. The CPU adopts a quad core 64 bit Cortex-A55, 22nm advanced technology, and the main frequency is up to 2.0GHz; Integrated ARM G52 2EE GPU, fully compatible with OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, Vulkan 1.1, etc; Built in the third generation NPU RKNN developed by Rockchip Micro, the computing power is 0.8Tops, and it supports deep learning frameworks such as caffe, TensorFlow, mxnet, etc. The model can be converted with one click.