reComputer J1010 -Edge AI Device with Jetson Nano module

  • 3 360 kr

Jetson-10-1-H0 is a hand-size edge AI box built with Jetson Nano module, rich set of IOs, aluminium case, passive heatsink, pre-installed JetPack System, ready

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Artikelnummer: 1150

Jetson-10-1-H0 is a hand-size edge AI box built with Jetson Nano module, rich set of IOs, aluminium case, passive heatsink, pre-installed JetPack System, ready for your next AI application development and deployment.


  • Hand-size edge AI device built with NVIDIA Jetson Nano Production Module, delivering 128 NVIDIA CUDA® cores delivers 0.5 TFLOPs (FP16).

  • Nearly the same design as Jetson Nano Developer Kit’s reference carrier board, rich IOs including Gigabit Ethernet port, 4 USB 3.0 Type-A ports, HDMI port and DP port.
  • Pre-installed NVIDIA official JetPack software, ready for cloud-native application.
  • Support a wide range of AI applications fast building with our ecosystem partners.
  • Support Allxon to enable secure remote device management.
  • Able to mount on the wall with mounting holes on the back.


reComputer Jetson series are compact edge computers built with NVIDIA advanced AI embedded systems: Jetson-10 (Nano 4GB) and Jetson-20 (Xavier NX). With rich extension modules, industrial peripherals, thermal management, reComputer Jetson is ready to help you accelerate and scale the next-gen AI product by deploying popular DNN models and ML frameworks to the edge and inferencing with high performance, for tasks like real-time classification and object detection, pose estimation, semantic segmentation, and natural language processing (NLP).

Jetson Nano: Deep Learning Inference Performance

Reference: NVIDIA, Performance of various deep learning inference networks with Jetson Nano and TensorRT, using FP16 precision and batch size 1

Developers can use highly accurate pre-trained models from TAO Toolkit and deploy with DeepStream. Jetson Nano can achieve 11 FPS for PeopleNet- ResNet34  of People Detection, 19 FPS for DashCamNet-ResNet18 of Vehicle Detection, and 101 FPS for FaceDetect-IR-ResNet18 of Face Detection. Benchmark details can be found on NVIDIA®’s DeepStream SDK website.

Jetson Nano can run a wide variety of advanced networks, including the full native versions of popular ML frameworks like TensorFlow, PyTorch, Caffe/Caffe2, Keras, MXNet, and others.

reComputer Jetson series is compatible with the entire NVIDIA Jetson software stack, industry-leading AI frameworks, development platforms like Edge Impulse, AlwaysAI, and cloud-based robot development tool Nimbus.

Application: next-gen autonomous machine at the edge

reComputer Jetson series is ideal for building autonomous machines and complex AI system tasks of image recognition, object detection and localization, pose estimation, semantic segmentation, video processing, and intelligent analytics. 

Edge AI into the Wild: UAV, Drone, Wildlife protection, Agriculture

Smart City: Traffic, Retail, Healthcare

Industry 4.0: Manufacturing, Logistics, Delivery, Service

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. 

NVIDIA Jetson powered Edge AI platform at Seeed

At Seeed, you will find everything you want to work with NVIDIA Jetson Platform – official NVIDIA Jetson Dev Kits, Seeed-designed carrier boards, and edge devices, as well as accessories.

Seeed will continue working on the Jetson product line and will be ready to combine our partners’ unique technology with Seeed’s hardware expertise for an end-to-end solution.

Hardware specification

Comparison among reComputer Jetson-10 series and Official Dev Kits 

ProductNVIDIA Jetson Nano™ 2GB Developer KitreComputer Jetson-10-1-A0NVIDIA Jetson Nano Developer Kit-B01reComputer Jetson-10-1-H0
ModuleNano (not production version)Nano (production version)Nano (not production version)Nano (production version)
GPU128-core NVIDIA Maxwell™128-core NVIDIA Maxwell™
CPUQuad-core ARM A57 @ 1.43 GHzQuad-core ARM A57 @ 1.43 GHz
Memory2GB 64-bit LPDDR4 25.6GB/s4GB 64-bit LPDDR4 25.6GB/s4GB 64-bit LPDDR4 25.6GB/s
StoragemicroSD (Card not included)16 GB eMMCmicroSD (Card not included)16 GB eMMC
Video encoder4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265)4K30 | 2x1080p60 | 4x1080p30 |
4x720p60 | 9x720p30 (H.265 & H.264)
4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265)4K30 | 2x1080p60 | 4x1080p30 |
4x720p60 | 9x720p30 (H.265 & H.264)
Video decoder4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264/H.265)4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60
(H.265 & H.264)
4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264/H.265)4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60
(H.265 & H.264)
Gigabit Ethernet1*RJ45 Gigabit Ethernet Connector (10/100/1000)1*RJ45 Gigabit Ethernet Connector (10/100/1000)
USB1 * USB 3.0 Type A Connector;
2 * USB 2.0 Type A Connector;
1 * Micro-USB port for Device mode;
1 * USB Type C for 5V power input
1 * USB 3.0 Type A Connector;
2 * USB 2.0 Type A Connector;
1 * USB Type C for Device mode;
1 * USB Type C for 5V power input
4 * USB 3.0 Type A Connector;
1 * Micro-USB port for 5V power input, or for Device Mode
4 * USB 3.0 Type A Connector;
1 * Micro-USB port for Device mode;
CSI Camera Connect1*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )
Display1*HDMI Type A1*HDMI Type A; 1*DP
M.2 KEY E-1*M.2 Key E1*M.2 Key E1*M.2 Key E(Disabled
M.2 KEY M---1*M.2 Key M
RTC-1*RTC Socket-1*RTC socket
Multifunctional port1* 40-Pin header1* 40-Pin header
Power RequirementsUSB-Type C 5V⎓3A;DC Jack 5V3A
Micro-USB 5V2A
DC Jack 12V/2A
Mechanical100 mm x 80 mm x 29 mm130 mm x 120 mm x 50 mm100 mm x 80 mm x 29 mm130mm x120mm x 50mm

Interface-rich reference carrier board

Nearly the same functional design as Jetson Nano Developer Kit

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, 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 2GB 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. 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.


Work with Seeed Ecosystem

Deploying an AI idea can be faster, flexible, even scalable for everyone. Seeed Jetson Platform targets on helping educators, developers and enterprises deploy ML in the real world. By consolidating Seeed’s best-in-class hardware, cutting-edge technology from our software partners and all developers from the community, we aim at emerging all kinds of AI scenarios in our open-source platform to faster industry digital transformation. We are looking for partners to join our ecosystem together to deliver solutions to different industries together. Please contact [email protected] for more partnership ecosystem information.

Part 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)



Jetson-10-1-H0 Datasheet.pdf



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[Wiki] reComputer User Guide

We provide the user guide wiki here that helps you get quickly started with the reComputer series.


[Wiki] Getting Started with Allxon on NVIDIA® Jetson Devices

You can securely manage NVIDIA® JetPack 4.6 onward versions with Cyber Security at the Edge protecting all networks and hardware. Here are some operations about installing, getting code, adding devices etc.


[Blog] Seeed Partners with Allxon to Enable Efficient Remote Hardware Management Services for NVIDIA Jetson Platform

Seeed is glad to partner with Allxon to deliver a secure remote management solution for Jetson Platform. At Seeed, you will find everything you want to work with NVIDIA Jetson Platform – official NVIDIA Jetson Dev Kits, Seeed-designed carrier boards, and kits, as well as third-party boards and accessories.


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