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    youyeetoo YY3588 Single Board Computer - RK3588 SoC,6TOPS NPU, 4/8/16/32GB RAM, 4G/LTE/NFC Support, 4K/8K Video Codec, Multi-Interface Expansion for Edge AI & IoT (32GB RAM+256GB eMMC,Standard Kit)

    • Powerful ProcessorPowered by Rockchip RK3588 SoC with octa-core CPU (4Cortex-A76 + 4Cortex-A55), up to 2.4GHz for high-performance computing.
    • Shipping List[Standard Kit]YY3588 Kit *1Power adapter *1USB to TTL *1DuPont wire *5, USB to TypeC Cable *1; [Basic Kit]: YY3588 Kit *1
    • AI AccelerationIntegrated 6TOPS NPU supports TensorFlow, PyTorch, and other AI frameworks, enabling rapid processing of complex AI tasks for edge AI applications.
    • Rich Interface OptionsSupports a variety of interfaces including HD-MI 2.1, MIPI DSI, eDP, USB 3.0, UART, CAN, etc., to meet the needs of various peripheral connections.
    • Multiple Communication OptionsSupports 4G/LTE, Wi-Fi 6, Bluetooth 5.2, and NFC, ensuring stable communication in various environments.
    • Industrial-Grade DesignOperating temperature range of -20C to +70C, suitable for harsh environments, and pre-installed with Android 11.0 and Debian 10.0 operating systems.
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    Product Description The Youyeetoo YY3588 is a high-performance single-board computer featuring the Rockchip RK3588 SoC with a 6 TOPS NPU for powerful AI acceleration. It supports 4G/LTE/NFC communication and 4K video encoding/decoding, making it ideal for edge AI and IoT applications. The board comes pre-installed with Android 11.0 and Debian 10.0 and offers a wide range of interfaces for versatile use in industrial automation and smart infrastructure. Key Features Rockchip RK3588 octa-core ARM Cortex (4A76 @ 2.4GH z + 4A55 @ 1.8GH z) 6TOPS
    NPU: Supports TensorFlow, PyTorch, and other AI frameworks.
    Communication Options: 4G/LTE, Wi-Fi 6, Bluetooth 5.2, NFC.
    Video Processing: Supports 4K video encoding and decoding, 4K/8K Video Codec.
    Multi-Interface Expansion: HDMI 2.1, MIPI DSI, eDP, USB 3.0, UART, CAN.
    Applications IoT Gateway: Supports multi-protocol communication, serving as an IoT edge node.
    Smart Infrastructure: Can be used for digital signage, interactive kiosks, and building automation.
    Edge AI: Suitable for real-time object detection, voice recognition, and large language model inference.
    Industrial Automation: Ideal for machine vision systems, robotic control, and predictive maintenance.
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