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Reduced price! Developer Kit NVIDIA Jetson Nano - ARM Cortex A57 1.43GHz, 4GB RAM, Nvidia Maxwell View larger

Developer Kit NVIDIA Jetson Nano - ARM Cortex A57 1.43GHz, 4GB RAM, Nvidia Maxwell

NVIDIA development kit with the ARM Cortex A57 1.43GHz CPU chip and the Maxwell graphics system consisting of 128 cores supporting CUDA technology. The module has a DDR4 4GB RAM memory. NVIDIA Jetson Nano Development Kit rev. B01

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ID: 574587

135,40€ gross (23% VAT)
110,08€ net

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NVIDIA Development Kit with ARM Cortex A57 CPU running at 1.43 GHz   and the Maxwell graphics system consisting of 128 cores supporting CUDA technology. The system is supported by 4 GB DDR4 RAM memory, Ethernet, HDMI and two MIPI-CSI interface. The package is designed especially for graphic design and processing of very large amounts of data. It allows you to familiarize yourself with the programming technique of GPUs.

The Jetson Nano module is the smallest device on the Jetson platform. It provides performance for running modern AI loads in a small, energy-saving format. Provides 472 GFLOPs of computing power for fast work with modern SI algorithms. It can run multiple neural networks in parallel and simultaneously process data from multiple high-resolution sensors, making it the perfect solution for basic network video recorders (NVRs), home robots and intelligent gateways with full analytical capabilities.

Nvidia makes available on your site ( ) a free course of artificial intelligence based on NVIDIA Jetson Nano.

Video presentation

The Jetson Nano Developer Kit requires 5 V power supply with 2 A current capacity. The basic method of power supply is through the Micro-USB connector. The Power Jack connector (DC) allows the system to be powered with 4 A current, while through the expansion connector it is possible to supply the system with a current of 6 A (2 pins x 3 A).

If you want to use Nvidia Jetson Nano in more demanding applications (which is associated with a greater demand for power), use the DC socket (matching plug: 5.5 / 2.1 / 9.5 mm in length) to which the power supply should be connected 5 V with a 4 A output current (eg 5V / 4A Power Supply for Odroid XU4 / HC1 DC 5.5x2.1 ).

To use the power supply through the DC jack, connect the jumper J48 on the Nvida Jetson Nano development board (it deactivates the power supply via the microUSB port).

Nvidia Jetson Nano is cooled passively using the included heat sink, to improve the cooling under heavy load, it can be mounted on a 40 mm fan.


  • Parameters of the module
    • NVIDIA Maxwell ™ GPU with 128 NVIDIA CUDA® cores
    • CPU Quad-core processor ARM® Cortex®-A57 MPCore
    • 4 GB 64-bit LPDDR4 memory
    • Camera 12 lanes (3x4 or 4x2) MIPI CSI-2 DPHY 1.1 (1.5 Gbps)
    • Gigabit Ethernet
    • HDMI 2.0 or DP1.2 display | eDP 1.4 DSI (1x2) 2 simultaneously
    • UPHY 1 x1 / 2/4 PCIE, 1x USB 3.0, 3x USB 2.0
    • Input / output ports 3x UART, 2x SPI, 2x I2S, 4x I2C, GPIOs
  • Video
    • 4Kp30 video coding | 4x 1080p30 | 9x 720p30 (H.264 / H.265)
    • 4Kp60 video decoder 2x 4Kp30 | 8x 1080p30 | 18x 720p30 | (H.264 / H.265)
  • Connectors
    • MicroSd card socket
    • Micro-USB 5V 2A
    • DC 5V 4A power supply
    • 4 x USB 3.0 Type A
    • USB 2.0 Micro-B
    • HDMI / DisplayPort connector
    • M.2 Key E connector
    • Gigabit Ethernet
    • GPIO, I2C, I2S, SPI, UART
    • 2 x MIPI-CSI camera connector
    • Fan connector
    • PoE connector
  • Dimensions : 100 x 80 x 29 mm

Arrangement of elements on the board and description of outputs

Kit contains

  • NVIDIA Jetson Nano module and motherboard
  • Dark ESD bag
  • Quick start/technical support guide