Overview
reComputer J1010 is an Edge AI Computer built around the NVIDIA Jetson Nano 4GB production module. The hand-sized system provides 0.5 TOPS AI performance, an aluminum case with passive heatsink, pre-built JetPack 4.6, onboard 16 GB eMMC, and rich I/O including 2x CSI camera ports, 1x USB 3.0, 2x USB 2.0, M.2 Key E, HDMI, Gigabit Ethernet, and USB Type‑C power input (5V⎓3A).
Key Features
- NVIDIA Jetson Nano 4GB production module for edge inference.
- AI performance: 0.5 TOPS.
- GPU: NVIDIA Maxwell architecture with 128 NVIDIA CUDA cores.
- CPU: Quad-core ARM Cortex-A57 MPCore.
- Memory: 4 GB 64-bit LPDDR4, 25.6 GB/s; onboard 16 GB eMMC.
- Pre-built JetPack 4.6.
- I/O: 1x USB 3.0 Type A; 2x USB 2.0 Type A; 1x USB Type C (device mode); 1x USB Type C for 5V power input.
- Camera: 2x CSI.
- Display: 1x HDMI Type A.
- Networking: 1x RJ-45 Gigabit Ethernet (10/100/1000M).
- Expansion: 1x M.2 Key E for WiFi/Bluetooth module; 1x 40-Pin Expansion header; 1x 12-Pin Control and UART header.
- Cooling/Control: 1x 4-pin Fan Connector (5V PWM).
- Mechanical: 130 mm x 120 mm x 58.5 mm (with case); Desk or wall-mounting; Operating temperature: 0℃ ~ 60℃.
Notes
- The official NVIDIA Jetson Nano Developer Kit has reached EOL. reComputer J10 full system is a recommended replacement.
- Using certain GPIO libraries may cause floating voltage (1.2V~2V). As normal GPIO voltage should be 3V, issues on carrier boards (including reComputer and NVIDIA developer kits) are not covered by aftersales/warranty. For details, refer to NVIDIA official document.
Specifications
| Jetson Nano 4GB System on Module | |
| AI Performance | Jetson Nano 4GB - 0.5 TOPS |
| GPU | NVIDIA Maxwell architecture with 128 NVIDIA CUDA cores |
| CPU | Quad-core ARM Cortex-A57 MPCore processor |
| Memory | 4 GB 64-bit LPDDR4, 25.6 GB/s |
| Onboard Storage | 16 GB eMMC |
| Video Encoder | 1x 4K30 | 2x1080p60 | 4x1080p30 | 4x720p60 | 9x720p30 (H.265 & H.264) |
| Video Decoder | 1x 4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 (H.265 & H.264) |
| Carrier Board | |
| Storage | 1x TF_Card |
| Networking | 1x RJ-45 Gigabit Ethernet (10/100/1000M) |
| M.2 KEY E | 1x M.2 Key E for WiFi/Bluetooth module |
| USB | 1x USB 3.0 Type A; 2x USB 2.0 Type A; 1x USB Type C for device mode; 1x USB Type C for 5V power input |
| Camera | 2x CSI |
| Display | 1x HDMI Type A |
| Fan | 1x 4 pin Fan Connector (5V PWM) |
| Multifunctional Ports | 1x 40-Pin Expansion header; 1x 12-Pin Control and UART header |
| Power | USB-Type C 5V⎓3A |
| Dimensions (W x D x H) | 130 mm x 120 mm x 58.5 mm (with case) |
| Installation | Desk, wall-mounting |
| Operating Temperature | 0℃ ~ 60℃ |
Hardware Overview
- reComputer J101 carrier board, included in the full system - reComputer J1010.
Applications
- Computer Vision
- Machine Learning
- Autonomous Mobile Robot (AMR)
Documents
- Datasheet
- Schematic
- 3D File
- Seeed Nvidia Jetson Product Catalog
- Nvidia Jetson Comparison
- Nvidia Jetson Product Comparison
- Seeed Nvidia Jetson Success Cases
- Seeed Jetson One Pager
ECCN/HTS
| HSCODE | 8471419000 |
| USHSCODE | 8517180050 |
| UPC | |
| EUHSCODE | 8471707000 |
| COO | CHINA |
What’s Included
| reComputer J1010 (System Installed) | x1 |
| Note: Power supply and RTC (CR1220) are not included. Please add as needed. | |
Details

Elite Partner NVIDIA reComputer U. The NVIDIA Jetson Nano is a high-performance computer designed for robotics and computer vision applications. It features an 0.5 TOPS Nano processor with 4GB of Al performance memory, making it ideal for processing complex AI models. The kit includes a JetPack 4.6 board, Ix USB 3.0 Type A connectors, M.2 KEY E, 2x USB 2.0 Type A connectors, and Wi-Fi capabilities.

Compact and feature-rich, the J1010 Edge AI Computer offers dual CSI camera interfaces, a micro SD card slot with 48MHz CLK, and an M.2 Key E slot. It supports a 260-pin SO-DIMM, 40-pin and RTC 2-pin connectors. Connectivity includes Type C power, HDMI, USB 3.0 Type A, two USB 2.0 Type A ports, Gigabit Ethernet, and a USB 2.0-only Type C port. Equipped with a fan header, button header, and Seeed Studio branding, it’s designed for efficient edge computing in a small form factor. Ideal for AI applications requiring reliable performance and versatile I/O options in constrained spaces.









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