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    OpenWing – Agent Store for AIoT Devices
    Home»Gadgets»Chips to Boards»Rock Pi N10
    Chips to Boards

    Rock Pi N10

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    The Rock Pi N10 is a powerful single-board computer (SBC) designed for AI and deep learning applications, featuring the Rockchip RK3399Pro system-on-chip (SoC). This SoC integrates a CPU, GPU, and Neural Processing Unit (NPU), making it particularly well-suited for edge computing tasks.

    Key Features

    High-Performance AI Hardware

    The RK3399Pro SoC includes a six-core CPU with dual Cortex-A72 cores running at 1.8GHz and quad Cortex-A53 cores at 1.4GHz. The GPU is a Mali T860MP4, supporting various graphics APIs such as OpenGL ES and Vulkan. The standout feature is the NPU, which delivers up to 3.0 TOPS (Tera Operations Per Second) of AI computing power, significantly enhancing deep learning and AI processing capabilities[1][4].

    Storage and Memory

    The Rock Pi N10 offers multiple configurations with 4GB, 6GB, or 8GB of LPDDR3 RAM and 16GB to 64GB of eMMC storage. It also includes a microSD card slot and an M.2 SSD connector that supports up to 2TB SSD for extended storage options[4][5].

    Connectivity and Interfaces

    The board is equipped with a variety of interfaces, including HDMI 2.0 for 4K video output, USB 3.0 and USB 2.0 ports, Gigabit Ethernet with Power over Ethernet (PoE) support, and a 40-pin GPIO header. While it lacks built-in Wi-Fi, optional M.2-format Wi-Fi and Bluetooth modules can be added[4][5].

    Software Support

    The Rock Pi N10 supports Debian, Ubuntu, Fedora, and Android 8.1 operating systems. It also provides tools for AI development, such as the Rock-X set of rapid AI components, RKNN-API C API, and RKNN-Toolkit Python API[5].

    Comparison with Other SBCs

    When compared to other SBCs like the Raspberry Pi 4 and NVIDIA Jetson Nano, the Rock Pi N10 stands out due to its integrated NPU, which provides dedicated AI acceleration. This makes it a competitive option for edge AI applications, particularly in scenarios requiring real-time processing and low latency[1][4].

    Pricing

    The Rock Pi N10 is available in three variants:
    – Model A: 4GB RAM, 16GB eMMC for $99
    – Model B: 6GB RAM, 32GB eMMC for $129
    – Model C: 8GB RAM, 64GB eMMC for $169[5]

    Overall, the Rock Pi N10 offers a robust and cost-effective solution for deploying AI and deep learning at the edge, making it a valuable tool for developers and hobbyists alike.

    [1]: https://www.seeedstudio.com/blog/2019/12/04/introducing-the-rock-pi-n10-rk3399pro-sbc-for-ai-and-deep-learning/
    [4]: https://www.hackster.io/news/radxa-launches-rock-pi-n10-rk3999pro-single-board-computer-with-integrated-neural-processing-unit-08db28efee29
    [5]: https://www.cnx-software.com/2019/12/04/rock-pi-n10-rk3399pro-sbc/

    Further Reading

    1. Introducing the Rock Pi N10 RK3399Pro – SBC for AI and Deep Learning – Latest Open Tech From Seeed
    2. Amazon.com: ROCK PI N10 RADXA N10 Designed for AI apps and solutions based on Rockchip RK3399pro (with Acrylic shell, 8GB Ram+64GB EMMc) : Electronics
    3. What is AI inference at the edge? – Electronics-Lab.com
    4. Radxa Launches Rock Pi N10 RK3999Pro Single-Board Computer with Integrated Neural Processing Unit – Hackster.io
    5. ROCK PI N10 RK3399Pro SBC Sells for $99 and up – CNX Software

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