reComputer J2012 Edge AI Computer with Jetson Xavier NX 16GB, Aluminium Case, 21 TOPS, JetPack 4.6

Overview

reComputer J2012 is a hand-size Edge AI Computer built with the NVIDIA Jetson Xavier NX 16GB production module and an aluminium case. It delivers up to 21 TOPS AI performance from a 384-core NVIDIA Volta GPU and 6-core NVIDIA Carmel ARMv8.2 CPU, in a compact 130mm x120mm x 50mm enclosure. The system comes pre-installed with NVIDIA JetPack 4.6 to support the complete Jetson software stack and developer tools for rapid deployment of computer vision and edge inference workloads.

Key Features

• Jetson Xavier NX 16GB production module with 16 GB 128-bit LPDDR4x @ 59.7GB/s and 16 GB eMMC 5.1 storage
• Up to 21 TOPS AI; 384-core NVIDIA Volta GPU; 6-core NVIDIA Carmel ARMv8.2 64-bit CPU (6 MB L2 + 4 MB L3)
• Rich I/O: 1x RJ45 Gigabit Ethernet (10/100/1000), 4x USB 3.0 Type‑A, 1x HDMI Type‑A, 1x DP, 1x Micro‑USB (Device mode)
• 2x CSI camera connectors (MIPI CSI‑2, 15‑pos, 1 mm pitch); 1x 40‑pin expansion header (GPIO, I2C, UART)
• M.2 Key E and M sockets; RTC socket; 5V PWM fan header; CAN interface (per carrier board)
• Pre‑installed NVIDIA JetPack enabling CUDA‑X accelerated libraries and DeepStream, TAO Toolkit, Isaac ROS, Riva
• Power‑efficient edge inference, as little as 10 watts
• Mountable aluminium case with back screw holes for wall installation

Specifications

What’s Included

• 1 x Acrylic Cover
• 1 x Aluminium Frame
• 1 x Jetson Xavier NX 16GB module
• 1 x Heatsink
• 1 x Carrier board
• 1 x 19V/4.75A (MAX 90W) Power Adapter (Power cable not included)

We will not include a power cord, please choose a suitable form according to your country.
We will not include a 3V RTC battery (CR1220).

Applications

Designed for autonomous machines at the edge, the reComputer J20 series powered by Xavier NX addresses real‑time image recognition, object detection, pose estimation, semantic segmentation, video processing, and NLP for scenarios in manufacturing, logistics, retail, smart city, agriculture, healthcare, service, and robotics.

Developers Tools

Pre‑installed JetPack for fast development and edge AI integration

NVIDIA JetPack SDK provides the full development environment for Jetson, including the Jetson Linux Driver Package, CUDA‑X accelerated libraries, security features, and OTA update capabilities.

Computer Vision and embedded machine learning

• Edge AI no‑code Vision tool (Seeed open‑source project)
• NVIDIA DeepStream SDK for multi‑sensor streaming analytics
• NVIDIA TAO Toolkit for accelerated model training
• alwaysAI, Edge Impulse, Roboflow, YOLOv5 by Ultralytics, and Deci tooling support

Speech AI

• NVIDIA Riva SDK for real‑time speech applications

Remote Fleet Management

Enable secure OTA and remote device management with Allxon (90 days free trial code: H4U‑NMW‑CPK).

Robot and ROS Development

• NVIDIA Isaac ROS GEMs optimized for Jetson
• Cogniteam Nimbus cloud platform supports NVIDIA Jetson and ISAAC SDK/GEMs

Notes

• Due to component shortage, J2012 is discontinued; reComputer J2022 is recommended as an alternative.
• Name change: "reComputer Jetson‑20‑1‑H1" has changed to "reComputer J2011".
• JetPack 4.6 is pre‑installed; power on to use. Refer to the wiki for reflashing JetPack and storage expansion.
• GPIO caution: using some GPIO libraries may cause floating voltage (1.2V~2V). Normal voltage is 3V. Aftersales/warranty does not apply to this issue. See NVIDIA document: GPIO Usage Considerations.

Manuals

• reComputer J202x datasheet (PDF)
• reComputer J202 carrier board datasheet (PDF)
• Jetson Nano Developer Kit 40‑Pin Expansion Header GPIO Usage Considerations (PDF)

Certification

Video

Details

NVIDIA Jetson software offers applications for training, adapting, and optimizing AI models. It features NVIDIA TAO and Omnivert ecosystems with synthetic pre-trained data models. The platform includes Al software, hardware, machine vision cameras, system software, services, design services, and sensors. Developer tools include DEEPSTREAM, ISAAC, ROS, RIVA, TAO Toolkit, JETPACK SDK, Linux RTOS, Triton, and CUDA-X.

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Control and UART CAN header features fan headers, MIPI-CSI camera connectors, and a 40-pin expansion header for GPIO, I2C, and UART. The board also includes an optional 260-Pin SODIMM slot with PoE capabilities, four USB 3.0 ports, a backpower header, gigabit Ethernet port, DP and HDMI interfaces, LED lights, and a DC power jack with micro USB connector.