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Mini PC for Nvidia Jetson Nano Fanless Industrial AI Computer Mini PC 9-36V

Mini PC for Nvidia Jetson Nano Fanless Industrial AI Computer Mini PC 9-36V

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Compact fanless Jetson Nano mini PC with 9–36 V DC, dual GbE, M.2 slot & GPIO. Rugged edge AI computer for industrial automation. Fast UAE delivery.


Overview

This fanless Jetson Nano Mini PC packs NVIDIA®’s small-form-factor AI module into a rugged, maintenance-free chassis. Powered by a wide 9–36 V DC input, it delivers silent edge-AI inference, dual-Gigabit Ethernet, and flexible I/O in harsh industrial environments.


Product Description

Designed for on-premise AI deployments, this industrial mini PC integrates the Jetson Nano module with 4 GB RAM and an M.2 SSD slot. The passive-cooling aluminum housing withstands dust and debris, while GPIO headers and serial ports connect directly to sensors and controllers. Preloaded with JetPack on Ubuntu, it’s ready for deep-learning workloads, OCR, and vision-based automation out of the box.


Key Features

  • NVIDIA® Jetson Nano module for 472 GFLOPS AI compute

  • Fanless Aluminum Enclosure for silent, zero-maintenance uptime

  • Wide Input: 9–36 V DC with surge & reverse-polarity protection

  • Dual GbE for network redundancy or high-bandwidth data

  • Rich I/O: 4× USB 3.0, 2× USB 2.0, 2× RS-232, GPIO headers

  • M.2 2280 Slot for NVMe SSD or wireless expansion

  • GPIO & Serial for direct PLC and sensor integration

  • JetPack on Ubuntu preinstalled for immediate AI development


Specifications

Attribute Details
AI Module NVIDIA® Jetson Nano (472 GFLOPS)
Memory 4 GB LPDDR4
Storage M.2 2280 NVMe slot (user-supplied up to 2 TB)
USB Ports 4× USB 3.0, 2× USB 2.0
Serial Ports 2× RS-232
Network 2× Gigabit Ethernet
GPIO 20-pin header for digital I/O
Power Input 9–36 V DC, 5 A max
Operating Temp –20 °C to 60 °C
Dimensions 120 × 90 × 35 mm
Weight 0.5 kg

Supported OS / Applications / Industries

  • OS: Ubuntu 18.04 LTS with JetPack SDK

  • Applications: Edge AI inference, machine vision, robotics, smart sensors

  • Industries: Manufacturing, logistics, agriculture, retail analytics


Benefits & Compatibility

  • Silent Edge AI: No fans means no noise or dust ingress

  • Plug-and-Play: Preconfigured with JetPack for rapid prototyping

  • Robust I/O: USB, serial, and GPIO support legacy and modern devices

  • Flexible Power: Wide DC range suits vehicle or cabinet power rails

  • Expandable: M.2 slot for storage or Wi-Fi/Bluetooth modules


Purpose of Use

Ideal as a compact AI accelerator in conveyor vision checks, smart cameras, autonomous robots, or any application requiring real-time inferencing at the edge.


How to Use

  1. Mount via VESA or DIN-rail bracket.

  2. Connect 9–36 V DC, network, USB, serial, and GPIO peripherals.

  3. Boot into Ubuntu with JetPack SDK.

  4. Deploy your AI models using TensorRT or DeepStream.


Packaging / Weight / Dimension

  • Packaging: Recycled foam inserts + sturdy corrugated box

  • Unit Weight: 0.5 kg

  • Box Size: 160 × 120 × 60 mm


Warranty and FAQs

Warranty: 1-year limited hardware warranty
FAQs:

  • Can I use custom AI frameworks? Yes, supports TensorFlow, PyTorch via JetPack.

  • Is GPIO 24 V tolerant? Use external level shifters for high-voltage I/O.

  • Can I add wireless? Yes, via optional M.2 Wi-Fi/Bluetooth module slot.


Performance, Quality, Durability, and Reliability

Tested to MIL-STD-810G for shock and vibration. The anodized aluminum case provides EMI shielding and efficient thermal conduction for continuous operation.


Best Price Guarantee

Found a lower factory-direct price in the UAE? We’ll match it—guaranteed. Maximize ROI with no middle-man markup.


Shop Today & Receive Your Delivery Across the UAE!

Fast, tracked shipping to Dubai, Abu Dhabi, Sharjah, and all Emirates.


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After Sales Support

24/7 email and remote-assist diagnostics. Streamlined RMA process keeps downtime minimal.


Get in Touch

For quotes or technical inquiries, email sales@neotech.com. We’re here to help!


Stock Availability

Please confirm stock levels before ordering. Custom OEM/ODM variants may require a 2–3 week lead time.


Disclaimer

All specifications and images are indicative and subject to change without notice. Verify final details, pricing, and lead times with your sales representative before purchase.

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