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reComputer J101 Carrier Board for Jetson Nano

  • $149.00
  • Save $20
  • (Exc. GST)

  • Available in stock

  • $ We Ship from our stock in AU (Perth) with pickup option, and Prices are Exc. GST
  • $ We Offer Quantity Discounts for Large Orders 10+ qty (Request for Quote)
  • $ We Accept Purchase Orders & Net 30 Payment for Eligible Accounts

    reComputer J101 Carrier Board for Jetson Nano

    reComputer J101 carrier board is a cost-effective and interface-rich NVIDIA Jetson Nano compatible carrier board. It included HDMI2.0, 2x USB 2.0, 1x USB 3.0, micro SD card slot, 2 xCSI, M.2 key E WIFI / BT, GPIO, I2C, I2S, Fan, and other rich peripheral interfaces. It has nearly the same functional design and exactly the same size as the carrier board of NVIDIA® Jetson Nano™ B01 Developer Kit.


    • Perfectly suited: Design for Jetson Nano Module (260-pin SODIMM).
    • Dev Kit carrier board alternative: 1:1 matches the size and nearly the same functional design as the carrier board of Nvidia’s official Nano Developer kit. 
    • Expandable storage: SD card slot for storage expansion of Nano module (16GB eMMC).
    • Rich peripherals: Higher performance stability consists of USB 3.0, USB 2.0 ports, M.2 key E for WIFI, RTC, Raspberry Pi GPIO 40-pin, and so on.
    • Super cost-effective: Suitable for the good start and quick evaluation of AI applications.
    • Comprehensive certificates: FCC, CE, RoHS(Certification received in early Sept)


    • We provide SD card function on reComputer J101 carrier board, which supports CLK Frequency 48MHz. The CLK here is designed to achieve certificates (such as CE/FCC). If you want to increase CLK by yourself, you can use the instructions here.
    • The later reComputer J1010 carrier board version are all supported SD card function.


    Working with NVIDIA Jetson Nano module, powered by NVIDIA Maxwell with 128 NVIDIA CUDA® cores, it's ready to bring the power of modern AI to everyone: makers, learners, and embedded developers. 

    With the NVIDIA Jetson Nano module assembled, it could support NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. With its multiple camera connectors, it is suitable for running multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing.

    Edge AI Applications

    Working with Jetson Nano module, reComputer J101 is ready to bring modern AI power to real-world applications such as image recognition, object detection, pose estimation, video processing, and many more. Check out the following application example with tutorials! 

    Find in the Jetson Community Resources page tools and tutorials the community has created to power your development experience, and check out the Community Projects page to inspire your next project! 

    Please also check out Seeed wiki guide including getting started with Jetson Nano and also building different projects. 

    Comparison with NVIDIA Nano series Dev kits carrier board

    Hardware Overview


    • We will not include a power supply(Type C 5V3A), you can add this power adapter
    • We will not include a 3V RTC battery.


    reComputer J101 v2 datasheet.pdf

    reComputer J101 PCBA 2D&


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