• 5V 4A UK Plug Barrel Jack Power Connector for NVIDIA® Jetson Nano


    Out of the box, the Jetson Nano Developer Kit is configured to accept power via the Micro-USB connector. You’ll need to power the developer kit with a good quality power supply that can deliver 5V⎓2A at the developer kit’s Micro-USB port. Not every power supply rated at “5V⎓2A” will actually do this. The power supply will need to consistently deliver ≥4.75V to avoid brownout condition. Note that some USB cables can lead to additional voltage droop.

    The recommended way to power up the Jetson Nano is to use a 5V=4A power adaptor to provide stable current supply to the Jetson Nano

  • Arduino Mini USB Cable for Nano (50 cm)


    The Arduino Mini USB Cable for Nano (50 cm) is a type of USB cable designed specifically for the Arduino Nano microcontroller board. It has a mini USB connector on one end and a standard USB connector on the other, allowing it to be connected to a computer or other USB device. The cable is 50 cm in length, providing ample reach for most projects and applications. It is made of high-quality materials and is designed to provide a stable and reliable connection between the Arduino Nano and the USB device.

  • Arduino Nano v3 with free USB cable (Clone)


    Arduino Nano v3 (Clone) is a compact, breadboard-friendly version of the Arduino microcontroller board. It features an ATmega328P microcontroller and operates at 16 MHz with 32KB of flash memory, 2KB of SRAM, and 1KB of EEPROM. It has 14 digital input/output pins and 8 analog input pins. The board can be powered through the USB connection or an external power supply. The package includes a free USB cable for connecting the board to a computer for programming and power supply.

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    NVIDIA® Jetson Nano™ Developer Kit-B01


    Join the Revolution and Bring the Power of AI to Millions of Devices.

    The NVIDIA® Jetson Nano™ Developer Kit delivers the compute performance to run modern AI workloads at an unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.