Jetson Nano 4GB B01 Ultimate Bundle with Acrylic Case

64GB microSD Card: Preinstalled JetPack with Linux4Tegra (L4T) OS
Camera Module with Holder x1: 8MP Standard Raspberry Pi Camera with Holder
Cooling Fan: Standard 40x10mm Non-PWM Fan
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This bundle is all you need to get started with the NVIDIA Jetson Nano Developer Kit! With a clear acrylic case with a camera mount and your choice of cameras, you can run all sorts of computer vision and machine learning projects on the Jetson Nano! Get connected via dual band WiFi and Bluetooth 4.2 with the Intel AC8265 Wireless Module with antennas (recommended hardware by NVIDIA). Included is also a 5V 4A Power Supply to allow you to harness the full capabilities of the Jetson Nano.


Included in all variants:

NVIDIA Jetson Nano Developer Kit B01 (4GB)
- Intel Dual Band Wireless AC 8265 Module with Antennas
- Jetson Nano Acrylic Case (A02/B01 Compatible)
- 5V 4A Jetson Nano Power Supply with Switch


Based on your application, choose between various microSD card options (including preinstalled versions), camera module options and cooling fan options. 

64GB microSD Card Options:
Preinstalled JetPack with Linux4Tegra (L4T) OS
 - Original

Camera Module with Holder x1:
8MP Standard Raspberry Pi Camera
- 8MP NoIR Raspberry Pi Camera
- 8MP 160 degree FOV Camera

Cooling Fan:
- Standard 40x10mm Non-PWM Fan
Standard 40x20mm PWM Fan
- Noctua Premium Silent 40x20mm PWM Fan


The NVIDIA Jetson Nano Developer Kit


NVIDIA Jetson Nano Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs on as little as 5 watts.

Jetson Nano delivers 472 GFLOPS for running modern AI algorithms fast, with a quad-core 64-bit ARM CPU, a 128-core integrated NVIDIA GPU, as well as 4GB LPDDR4 memory. It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously.

Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The SDK also includes the ability to natively install popular open source Machine Learning (ML) frameworks such as TensorFlow, PyTorch, Caffe / Caffe2, Keras, and MXNet, enabling developers to integrate their favorite AI model / AI framework into products fast and easily.

Technical Specifications

GPU 128-core Maxwell
CPU Quad-core ARM A57 @ 1.43 GHz
Memory 4 GB 64-bit LPDDR4 25.6 GB/s
Storage microSD (not included)
Video Encode 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)
Video Decode 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265)
Camera 2x MIPI CSI-2 DPHY lanes
Connectivity Gigabit Ethernet, M.2 Key E
Display HDMI and display port
USB 4x USB 3.0, USB 2.0 Micro-B
Others GPIO, I2C, I2S, SPI, UART
Mechanical 69 mm x 45 mm, 260-pin edge connector


Acrylic Case for Jetson Nano

Compatible with both the A02 and B01 variants of the Jetson Nano, this acrylic case is easy to install and keeps all connections accessible. Space is allocated for antennas and camera holders.


Intel 8265 WiFi & Bluetooth Module

With an M.2 connector, the Intel 8265 module is the recommended Wireless card for the NVIDIA Jetson Nano Developer Kit. This module will provide your device with WiFi connectivity on both the 2.4GHz and 5GHz band and Bluetooth 4.2 connectivity. Antennas provided fits well in most Jetson Nano cases with holes for antennas.

Wireless Module
WiFi Frequency Bands: 2.4GHz and 5GHz
WiFi Speeds: 300Mbps on 2.4GHz, 867Mbps on 5GHz
Networking Standard: IEEE 802.11ac
Bluetooth Version: 4.2 BLE
Connector Type: M.2
Antenna Connector Type: IPEX
Dimensions: 22mm x 30mm x 2.4mm

Antenna Length: 11cm
Antenna Cable Length: 15cm


5V 4A Jetson Nano Power Supply with Switch

5V 4A Jetson Nano Power Supply with Switch

While the NVIDIA Jetson Nano 4GB Developer Kit can be powered via the micro USB port, it limits the module to Mode 1, which draws only 5W of power. Powering the board via the barrel jack allows the module to draw more power to go into Mode 0, which draws 10W of power and allow faster computations.


  • 20W of power at 5V, up to 4A current draw to achieve peak performance
  • Built-in over-voltage, over-current and short circuit protection
  • Inline switch to safely power on/off the Jetson Nano
  • 1.5m 18AWG cable
  • 5.5 x 2.1mm barrel jack

5V 4A Jetson Nano Power Supply with Switch


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