reComputer Jetson Nano 4G Dev Kit

Note: We are expecting to get ready stock by end of April 2022. Please click "Notify Me" and fill in your email to get a notification once there is stock.

Note: Since NVIDIA Jetson Nano Dev Kit series is facing supply constraints, we are bringing a promising alternative solution for you here at Cytron marketplace.

reComputer Jetson Nano 4G Dev Kit is a compact edge computer built with NVIDIA advanced AI embedded system - The Jetson Nano 4GB RAM System on Module (SOM). It comes with rich extension modules, industrial peripherals, and thermal management combined with decades of Seeed’s hardware expertise, reComputer Jetson is ready to help you accelerate and scale the next-gen AI product emerging diverse AI scenarios.

Note: 

1. Power supply unit is NOT included in the pack.
2. 3V RTC battery (2-pin) is NOT included in the pack.

reComputer Jetson is compatible with the entire NVIDIA Jetson software stack, cloud-native workflows, and industry-leading AI frameworks, helping deliver seamless AI integration.

Check out this table of comparisons between the reComputer Jetson Nano 4G Dev Kit and Jetson Nano B01

Application: For next-gen autonomous machine

With edge AI developers can deploy machine learning models in solving demanding challenges for advanced robotics and autonomous machines in the fields:

• Edge AI into the Wild: UAV, Drone, Wildlife protection, Agriculture
• Smart City: Traffic, Retail, Healthcare
• Industry 4.0:Manufacturing, Logistics, Delivery, Service

Power-efficient AI computer, compact rich I/Os for Endless AI possibilities

reComputer Jetson - 10 comes with Jetson Nano delivers 0.5 TFLOPs (FP16), making it ideal for high-performance compute and AI in embedded and edge systems. You get the performance of 128 NVIDIA CUDA® Cores, quad-Core ARM CPUs. Combined with over 25.6GB/s of memory bandwidth, video encoded and decoded, 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.

Now, you can innovate at the edge with powerful and efficient AI, computer vision, and high-performance computing at just 5 to 10 watts.

Powerful reference carrier board

Seeed reference carrier board for reComputer Jetson Nano 4G Dev Kit is a high-performance, interface rich NVIDIA Jetson Nano compatible carrier board, providing HDMI 2.0, Gigabit Ethernet, USB 3.0, USB 2.0, CSI camera, GPIO, I2C, I2S, PWM fan, and other rich peripheral interfaces. It has nearly the same functional design and size as the carrier board of NVIDIA Jetson Nano B01 Developer Kit.

Take advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capability to all your embedded AI and edge systems.

Desktop, Wall Mount, or fit in anywhere

With an overall dimension of 130 x120 x 50mm, it is only around 1/10 of the size of an ordinary computer case which makes it possible to fit in edge AI scenarios. The back screw holes allow you to hang the product as you need. We also provide other editions case like blue, silver and silver mental, whose stackable structure allows you to stack more middle layers to create rooms very easily.

Prebuild system for edge AI integration

All NVIDIA® Jetson™ modules and developer kits are supported by the same software stack, enabling you to develop once and deploy everywhere. Jetson Software is designed to provide end-to-end acceleration for AI applications and accelerate your time to market. We bring the same powerful NVIDIA technologies that power data center and cloud deployments to the edge.

NVIDIA JetPack includes NVIDIA Container Runtime with Docker integration, enabling GPU accelerated containerized applications on Jetson platform. Jetpack also brings support for NVIDIA Triton™ Inference Server to simplify the deployment of AI models at scale. 

Features:

• Hand-size edge AI device with an overall dimension of 130mm*120mm*50mm, fits everywhere.
• Powered by the quad-core ARM® Cortex®-A57 MPCore processor.
• 128-core NVIDIA Maxwell™ GPU with 128 NVIDIA CUDA® cores delivers 0.5 TFLOPs (FP16).
• Rich peripherals include:
  • Gigabit Ethernet port
  • USB 3.0 and USB 2.0 Type-A ports
  • HDMI port
• Pre-installed NVIDIA official JetPack software, ready for cloud-native application.
• Able to mount on the wall, mounting holes on the back.
• Support a wide range of AI applications fast building with ecosystem partners.
• Support Allxon to enable efficient remote hardware management services.

Note: Currently, the reComputer Jetson Nano 4G Advance Dev kit is ready with the JetPack 4.6 system.

Specifications:

reComputer Jetson Nano 4G SoM technical specifications:

• GPU:
  • NVIDIA Maxwell™ architecture with 128 NVIDIA CUDA® cores
  • 0.5 TFLOPs (FP16)
• CPU: Quad-core ARM® Cortex®-A57 MPCore processor
• Memory: 4 GB 64-bit LPDDR4 1600MHz - 25.6 GB/s
• Storage: 16 GB eMMC 5.1 Flash
• Video Encode:
  • 250 MP/sec
  • 1 x 4K @ 30 (HEVC)
  • 2 x 1080p @ 60 (HEVC)
  • 4 x 1080p @ 30 (HEVC)
• Video Decode:
  • 500 MP/sec
  • 1x 4K @ 60 (HEVC)
  • 2x 4K @ 30 (HEVC)
  • 4x 1080p @ 60 (HEVC)
  • 8x 1080p @ 30 (HEVC)
• Camera: 12 lanes (3x4 or 4x2) MIPI CSI-2 DPHY 1.1 (18 Gbps)
• Connectivity:
  • Wi-Fi requires external chip
  • 10/100/1000 BASE-T Ethernet
• Display:
  • HDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous
• UPHY: 
  • 1 x 1/2/4 PCIE
  • 1 x USB 3.0 
  • 3x USB 2.0
• I/O:
  • 1x SDIO
  • 2x SPI
  • 4x I2C
  • 2x I2S
  • GPIOs -> I2C, I2S
• Size: 69.6 mm x 45 mm
• Mechanical: 260-pin edge connector

Carrier board technical specifications:

• Jetson module connector: 1 x Jetson SODIMM connector, 260-pin
• USB:
  • 1 x USB 3.0 Type A Connector
  • 2 x USB 2.0 Type A Connector
  • 1 x USB 2.0 Type C Connector
• Ethernet Port: 1 x RJ45 Gigabit Ethernet Connector (10/100/1000)
• Display Port: 1 x HDMI Type A
• CSI Camera Connector: 2 x CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )
• M.2 Key E: 1 x M.2 Key E Slot (75-pin) 2230
• Multifunctional Port: 2.0 Pitch 40 PIN GPIO
• Button Header: 1 x Button Header  
• Fan Connector: 1 x Picoblade Header
• Power Input: 1 x  Type-C connector

Packing List:

• 1 x Acrylic Cover
• 1 x Aluminium Frame 
• 1 x Jetson Nano module 
• 1 x Heatsink 
• 1 x Carrier board 

Note: Please get yourself a good USB-C Power Supply Unit to power this kit

Note: CR1220 3V Coin Cell Battery for RTC is NOT included.

Resources:

• Nvidia Jetson Nano Boot from USB, an article by Cytron Technologies, to setup the Jetson Nano to boot from USB drive, SSD.
• Robotic Operating System (ROS) with Nvidia Jetson Nano, an article by Cytron Technologies, to install and simulate robot using ROS
• AI Framework Test with Nvidia Jetson Nano, an article by Cytron Technologies, test how well Jetson Nano can run AI Framework
• Get Started with Jetson Nano Developer Kit
• Developer Kit User's Guide
• Jetson Nano: Deep Learning Inference Benchmarks
• Jetson Download Center
• Jetson FAQ
• Jetson Technical Forum
• Wiki
• Check out this demo of Jetson Nano interface with Raspberry Pi Camera module V2, by JetsonHacks: