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Home » Seeed Studio NV Jetson Series » J1010 with 4GB Jetson Nano module (M.2 Key E + 1xUSB3.0 + 2xUSB2.0)

J1010 with 4GB Jetson Nano module (M.2 Key E + 1xUSB3.0 + 2xUSB2.0)

J1010 is a hand-size edge AI box built with Jetson Nano production module, rich set of IOs, aluminum 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 2GB Developer Kit’s reference carrier board, rich IOs including Gigabit Ethernet port, USB 3.0 & USB 2.0 ports, HDMI 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 real-time robotic development, analysis, and remotely fleet management at Cogniteam Nimbus
  • Support Allxon to enable secure OTA and remote device management. Unlock 90 days free trial with code H4U-NMW-CPK.
  • Able to mount on the wall with mounting holes on the back.


reComputer series for Jetson are compact edge computers built with NVIDIA advanced AI embedded systems: J10 (Nano 4GB) and J20 (Xavier NX). With rich extension modules, industrial peripherals, thermal management, reComputer for Jetson is ready to help you accelerate and scale the next-gen AI product development 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 series for Jetson are compatible with the entire NVIDIA Jetson software stack, industry-leading AI frameworks, development platforms like Edge ImpulseAlwaysAI, and cloud-based robot development tool Nimbus.

Application: next-gen autonomous machine at the edge

reComputer series for Jetson are 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 J10 series and Official Dev Kits 

Product reComputer J1010 reComputer J1020 NVIDIA Jetson Nano Developer Kit-B01
Module Nano (production version) Nano (not production version)
AI Perf 472 GFLOPS
GPU 128-core NVIDIA Maxwell™
CPU Quad-core ARM A57 @ 1.43 GHz
Memory 4GB 64-bit LPDDR4 25.6GB/s
Storage 16 GB eMMC MicroSD (Card not included)
Video Encoder 4K30 | 2x1080p60 | 4x1080p30 | 4x720p60 | 9x720p30 
(H.265 & H.264)
4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265)
Video Decoder 4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 
(H.265 & H.264)
4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264/H.265)
Gigabit Ethernet 1*RJ45 Gigabit Ethernet Connector (10/100/1000)
USB 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 device mode;
4 * USB 3.0 Type A Connector; 
1 * Micro-USB port for 5V power input  or for device mode
CSI Camera Connect 2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )
Display 1*HDMI Type A 1*HDMI Type A; 
1*HDMI Type A; 
M.2 KEY E 1*M.2 Key E 1*M.2 Key E (Disabled) 1*M.2 Key E
M.2 KEY M 1*M.2 Key M
RTC 1*RTC Socket
Multifunctional port 1* 40-Pin header
Power USB-Type C 5V3A DC Jack 12V/2A DC Jack 5V3A
Micro-USB 5V
Mechanical 130 mm x 120 mm x 50 mm (with case) 130mm x120mm x 50mm (with case) 100 mm x 80 mm x 29 mm

Interface-rich reference carrier board:

Nearly the same functional design as Jetson Nano 2GB Developer Kit

Seeed reference carrier board for J1010 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 DeveloperTake 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. 

Part List

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