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Nvidia Jetson Nano B01 SOM and Carrier Board

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Description

Note: With the Official NVIDIA Jetson Series of Dev Kit shortage, these Alternative NVidia Jetson NANO 4GB B01 Dev Kits with Official Module are the best alternatives for the AI platform.

 

Note: The NVidia Jetson Nano 4GB Production Module comes with a built-in 16GB eMMC. The SOM is PRELOADED with the Jetson OS (Jetpack) with a pre-configured username and password.

Username: nano
Password: jetson

If you need to reflash the OS, you will need to load the JetPack manually with the guide from here, by WaveShare.

 


Note: This page contains 3 options of Alternative NVidia Jetson Nano B01 (4GB). Please choose your preferred option:

Jetson Nano B01 SOM with Carrier BoardAlternative Jetson Module Carrier BoardJetson Nano 4G SOM with Heatsink

 

Based on AI computers Nvidia Jetson Nano and Jetson Xavier NX, the NVidia Jetson Nano B01 (4GB) System on Module with Carrier Board provides almost the same peripheral interfaces (NO micro SD card slot on the Jetson Nano SOM, comes with built-in 16GB eMMC instead) as Jetson Nano and Jetson Xavier NX.

 

Nvidia Jetson Nano B01 SOM

The Official Nvidia Jetson Nano System on Module (SOM) delivers 0.5 TFLOPs (FP16), making it ideal for high-performance computing and AI in embedded and edge systems. You get the performance of 128 NVIDIA CUDA® Cores and Quad-Core ARM CPUs. Combined with over 25.6GB/s of memory bandwidth, video encoder, and decoder, these features make Jetson Nano the platform of choice to run multiple modern neural networks in parallel and process high-resolution data from multiple sensors simultaneously.

By utilizing the power of the core module, it is qualified for fields like image classification, object detection, segmentation, speech processing, etc., and can be used in sorts of AI projects.

Note: The NVidia Jetson Nano B01 SOM with Heatsink uses the production Jetson Nano version, which has 16 eMMC for OS instead of the SD card slot. The SOM is preloaded with Jetpack.

 

Features

Jetson Nano SOM features and specifications:

  • GPU: 128-core NVIDIA Maxwell™ architecture-based GPU
  • CPU: Quad-core ARM® A57 
  • 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)
  • Memory: 4 GB 64-bit LPDDR4; 25.6 gigabytes/second
  • Connectivity: Gigabit Ethernet
  • OS Support: Linux for Tegra®
  • Module Size: 70mm x 45mm 
  • SOM from Cytron is preassembled with heatsink and preloaded with Jetpack 4.6.1

In case you want to rewrite the Jetson Nano OS, you will need to use a Ubuntu 18.04 PC on a host PC and the SDK Manager tools. You may refer to this tutorial on How to write Jetson Nano OS.

 

The Carrier Board

The carrier board size and thickness are the same as the Jetson Nano Developer Kit (B01). It's compatible with Jetson Nano SOM and Jetson Xavier NX SOM, more convenient for upgrading the core module.

 

Carrier Board Layout

Note: The MicroSD Card Slot on the carrier board CAN NOT be used for booting the Jetson Nano. It is only meant for storage. You still need to load JetPack into the 16GB eMMC on Jetson Module.

  • Core module socket
  • M.2 Key E connector
  • PoE pins: PoE module is not included
  • 40-PIN GPIO header
  • Micro USB port: for 5V power input or for USB data transmission
  • Gigabit Ethernet port: 10/100/1000Base-T auto-negotiation, supports PoE if external PoE module is connected
  • 4 x USB 3.0 port
  • HDMI output port
  • Display Port connector
  • DC jack: for 5V power input
  • 2 x MIPI CSI camera connector
  • Micro SD card slot (NOT for booting Jetson Nano B01)

 

Compatible With Two Core Modules

The carrier board is compatible with Jetson Nano and Jetson Xavier NX system on module (SOM). Hence, it is convenient for hardware upgrading!

 

Nvidia Jetson Nano B01 Dev Kit & Jetson Nano B01 SOM with Carrier Board

Compatible with expansion modules and the Acrylic Case with Cooling Fan for Jetson Nano 4GB(A02/B01)

 

Play Around With Binocular Vision

The Alternative NVidia Jetson Nano B01 Dev Kit supports 2-Lanes CSI Camera, Suitable For Binocular Vision Applications Such As Parallax Algorithm Ranging, Facial Recognition, Organism Detection, VR Video Recording...

Note: The Camera module is not included. The picture is just for illustration purposes.

Packing List

Jetson Nano B01 SOM with Carrier Board

  • Official Nvidia Jetson Nano 4G Production SOM
  • Heatsink (assembled on Jetson Nano B01 SOM)
  • Alternative Jetson Module Carrier Board

 

 

Alternative Jetson Module Carrier Board

  • Alternative Jetson Module Carrier Board

 

 

Jetson Nano 4G SOM with Heatsink

  • Official Nvidia Jetson Nano 4G Production SOM
  • Heatsink (assembled on Jetson Nano B01 SOM)

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Tags: Substitute B01, Nvidia, AI, ML, DL, Jetson Nano A02, alternative Jetson Nano, 4GB,