RK3588 board, RK3588 Android 13.0 Manufacturers

We continuously execute our spirit of ''Innovation bringing development, Highly-quality ensuring subsistence, Management advertising and marketing gain, Credit history attracting buyers for RK3588 board, RK3588 Android 13.0,Rockchip RK3588 Core board board,RK3RK3588 Custom,RK3588 som,Ai board, Android board, Our business has already setup a professional, creative and responsible workforce to develop purchasers together with the multi-win principle.
RK3588 board, RK3588 Android 13.0, It using the world's leading system for reliable operation, a low failure rate, it suitable for Argentina customers choice. Our company is situated within the national civilized cities, the traffic is very convenient, unique geographical and economic conditions. We pursue a people-oriented, meticulous manufacturing, brainstorm, build brilliant" business philosophy. Strict quality management, perfect service, reasonable price in Argentina is our stand on the premise of competition. If necessary, welcome to contact us by our website or phone consultation, we'll be happy to serve you.

Hot Products

  • Raspberry Pi Adapter Board

    Raspberry Pi Adapter Board

    Buy Raspberry pi adapter board in Thinkcore company.
  • Rockchip RK3588 AI Edge Computing Smart Box

    Rockchip RK3588 AI Edge Computing Smart Box

    Thinkcore Technology Co., Ltd. is a technical enterprise that focuse on embedded hardware research and development, design, production and sales. The Rockchip RK3588 AI Edge Computing Smart Box Powered by the flagship Rockchip RK3588 octa-core processor, developed by Thinkcore and collaborating partners, delivers high-performance computing, advanced AI acceleration, and versatile connectivity for next-gen edge applications. Need customization or bulk pricing? Contact us today!
  • TC-RK3566 Development Board

    TC-RK3566 Development Board

    TC-RK3566 Development Board is a development board for Internet of Things applications. It adopts A55 architecture processor, G52 graphics processor, supports dual screen display, uses a new independent JPEG decoding processor, efficiently handles multi thumbnail analysis, and supports 1080p60fps H.264 and H 265 format encoding, supporting dynamic bit rate, frame rate, resolution adjustment and other functions, providing 8M30fps processing capacity,
  • Child Companion Robot AI playmate Toy

    Child Companion Robot AI playmate Toy

    Thinkcore Technology Co., Ltd. is a technical team focusing on embedded hardware research and development, design, production and sales. In the year of 2025, Thinkcore and our partners jointly developed this Child Companion Robot AI playmate Toy. Its emotional companionship function simulates the companionship of relatives through emotion recognition and response, filling the gap of companionship for busy parents. This AI playmate robot can accurately recognize children's voices, and can sense children's emotions and dynamically adjust responses through AI large-scale emotion recognition algorithms such as DeepSeek. It also has built-in subject knowledge bases (such as elementary school math problems and scientific experiment guides) to achieve "unconscious learning" through interactive games.
  • RK3566 Development Board Core Board

    RK3566 Development Board Core Board

    RK3566 Development Board 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

    TC-RK3568 Core board

    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.

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