reComputer Jetson Nano 4G Advanced Dev Kit

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

Note: With the Official NVIDIA Jetson Series of Dev Kit shortage, this reComputer Jetson Nano 4G advanced dev kit is the best alternative AI platform.

The reComputer Jetson Nano 4GB Advanced Dev Kit is the result of advanced engineering from SeeedStudio that integrates the production version of NVidia Jetson Nano (B01) System on Module (SoM) and a carrier board. The Jetson-10-1-H0 is a hand-size edge AI box ready with a rich set of IOs, aluminum case, passive heatsink, and pre-installed JetPack System, ready for your next AI application development and deployment.

computer Jetson series are compact edge computers built with NVIDIA advanced AI embedded systems. 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 in diverse AI scenarios.

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

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 s

NVIDIA Jetson Nano B01 Dev Kit vs reComputer Jetson Nano 4G Advanced (10-1-H0)

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

reComputer Jetson-10-1-H0 comes with Jetson Nano System on Module (SOM) that 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 Jetson-10-1-H0 is a high-performance, interface-rich NVIDIA Jetson Nano compatible carrier board, providing HDMI 2.0, Gigabit Ethernet, USB 3.0, USB 2.0, M.2 key M, CSI camera, GPIO, I2C, I2S, fans, and other rich peripheral interfaces. It has nearly the same functional design and size as the carrier board of NVIDIA Jetson Nano Developer Kit | NVIDIA Developer.

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 130mm*120mm*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.

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. This dev kit brings 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 the Jetson platform. Jetpack also brings support for NVIDIA Triton™ Inference Server to simplify the deployment of AI models at scale. 

NVIDIA Jetson powered Edge AI platform

You will find everything you want to work with NVIDIA Jetson Platform here.

Deploying an AI idea can be faster, flexible, and even scalable for everyone. The Jetson Platform targets on helping educators, developers and enterprises deploy ML in the real world. By consolidating best-in-class hardware, and cutting-edge technology from many software partners and all developers from the community, it aims to emerge all kinds of AI scenarios into the open-source platforms to faster industries' digital transformation.

Features:

• Integrated with Production grade NVidia Jetson Nano 4GB (B01) System on Module (SOM)
• 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 including:
  • Gigabit Ethernet port
  • 4 x USB 3.0 Type-A ports
  • 1 x Full-Size HDMI port and DP port
• All enclosed in a practical aluminum case
• Pre-installed NVIDIA official JetPack software onto the onboard 16GB eMMC, ready for cloud-native application
• Able to mount on the wall with mounting holes on the back
• Support a wide range of AI applications fast building with the 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:

NVIDIA Jetson NANO System on Module (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
  • 1x 4K @ 30 (HEVC)
  • 2x 1080p @ 60 (HEVC)
  • 4x 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:
  • M.2 Key M
  • 10/100/1000 BASE-T Ethernet
• Display: HDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous
• UPHY: 1 x1/2/4 PCIE, 1x 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 3.0 Type A: 4 x USB 3.0 Type-A Connector
• USB Micro Type B: 1 x USB Micro B, RA Female
•  Ethernet Port: 1 x RJ45 Gigabit Ethernet Connector (10/100/1000)
• Display Port: 1 x HDMI type A and 1 x DP (Display Port)
• CSI Camera Connector: 2 x CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )
• M.2 Key E: Disabled
• M.2 Key M: 1 x M.2 Key M Slot (75-pin) for NVME 2280
• Multifunctional Port: 2.54mm pitch to pitch 40 PIN, a.k.a: GPIO Port
• Button Header: 1 x Button Header 
• FAN Connector: 1 x Picoblade Header
• CAN: Disabled
• 1 x RTC Back-up Coin Cell Socket (CR1220, battery is not included)
• Power: 1 x DC Input Power TE Connector

Packing List:

• 1 x Acrylic Cover
• 1 x Aluminium Frame 
• 1 x Jetson Nano module 
• 1 x Heatsink 
• 1 x Carrier board 
• 1 x 12V/2A  Power Adapter (with 5 interchangeable adapter plugs)

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

Resources:

• reComputer Jetson Nano 4GB Advanced Dev Kit Datasheet
• 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: