Nvidia Jetson Nano Development Kit-b01

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Nvidia Jetson Nano Development Kit-b01

Nvidia Jetson Nano Development Kit-b01

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Development Boards & Kits - ARM NVIDIA Jetson Nano Development Kit-B01


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Description The NVIDIA® Jetson Nanoâ 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. The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI.
This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. Its incredibly power-efficient, consuming as little as 5 watts.
Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRTâ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started.
The same JetPack SDK is used across the entire NVIDIA Jetsonâ family of products and is fully compatible with NVIDIAs world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers.


Please pay attention and follow the steps below to insert/remove an SD card.
Inserting an SD card: Slightly push the SD card into the card slot until you hear a click sound. If you hear that sound, that means the SD card has been successfully inserted.
Removing an SD card: Slight push the SD card inside the card slot until you hear a click sound. Then release it and the SD card will automatically pop out.


 Jetson Nano Module
  • 128-core NVIDIA Maxwellâ GPU
  • Quad-core ARM® A57 CPU
  • 4 GB 64-bit LPDDR4
  • 10/100/1000BASE-T Ethernet 
  •  Power Options
  • Micro-USB 5V 2A
  • DC power adapter 5V 4A
  •  I/O
  • USB 3.0 Type A
  • USB 2.0 Micro-B
  • HDMI/DisplayPort
  • M.2 Key E
  • Gigabit Ethernet
  • GPIOs, I2C, I2S, SPI, UART
  • MIPI-CSI camera connector
  • Fan connector
  • PoE connector
  •  Kit Contents
  • NVIDIA Jetson Nano module and carrier board
  • Quick Start Guide and Support Guide  
  • Changes with the B01 Kit 114992260 114992261 114992262 114992263 114992264 114992265 114992270 Diagonal Field of View (FOV) 77° 77° 130° 160° 160° 200° 83° IR LED Modules None 2 None None 2 None None Aperture 2.0 2.0 1.8 2.35 2.35 2.0 / Focal Length 2.96mm 2.96mm 1.88mm 3.15mm 3.15mm 0.87mm 2.6mm Lens Construction 4P 4P 4E+IR 6G+IR 6G+IR 1G4P+IR / Distortion <1% <1% <7.6% <14.3% <14.3% <18.6% <1% EFL 2.93mm 2.93mm 1.85mm 3.15mm 3.15mm 0.9mm / BFL (Optical) 1.16mm 1.16mm 1.95mm 3.15mm 3.15mm 1.41mm / 1Reinforce Your Projects with Grove Pi HATIf you want to use Grove sensors with Jetson Nano, grab the grove.
    py Python library and get your sensors up in running in minutes! Currently, there are more than 20 Grove modules supported on Jetson Nano and we will keep adding more. You can connect Grove modules using Base HAT for Raspberry Pi or Raspberry Pi Zero with Jetson Nano.


    We provide a wide selection of AI-related products including Machine Learning, Computer Vision, Edge Computing, Speech Recognition & NLP and Neural Networks Acceleration.
    Check here for more products you may need. We are also calling for feedback and inputs from the developers.
    Any suggestions on the product features are welcomed at Seeed Forum!


  • 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 Encoder: 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)
  • Video Decoder: 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 2.0 and eDP 1.4
  • USB: 4x USB 3.0, USB 2.0 Micro-B
  • Others: GPIO, I2C, I2S, SPI, UART
  • Mechanical: 100 mm x 80 mm x 29 mm
  • Version Change Information for B01 from A02

  • The B01 revision carrier is compatible with the production Specification Jetson Nano module. The A02 revision carrier is not.
  • Removed Button Header [J40] Position
  • Removed Serial Port Header [J44] Position
  • Adjusted the Position of Power Select Jumper [J48]
  • Adjusted the Position of Camera Connector [J13]
  • Added Camera Connector [J49] location
  • Factory JetPack Upgrade from 4.2 SDK to 4.3 SDK
  • Note

    If you are looking for open source SBC for commercial and industrial needs.
    Seeed provides customization service based on BeagleBone series boards. Seeed Studio BeagleBone® Green(BBG) and Seeed Studio BeagleBone® Green Wireless (BBGW) provide more stable industrial deployment scenarios.
    Nvidia Jetson Nano Development Kit-b01
    • Dimensions - 100 mm x 80 mm x 29 mm
    • Product - Development Kits
    • Brand - Seeed Studio
    • Interface Type - GPIO, I2C, I2S, SPI, UART
    • Core - ARM Cortex A57
    • Manufacturer - Seeed Studio
    • Operating Supply Voltage - 5 V
    • Product Type - Development Boards & Kits - ARM
    • Standard Pack Qty - 1
    • Subcategory - Development Tools
    • Tool Is For Evaluation Of - Jetson Nano