EdgeAI-ORN

In stock

  • High-Performance Computing:

    • Up to 157 TOPS AI performance

    • Multiple memory options: 4GB, 8GB, 16GB LPDDR5

    • Flexible power modes: 7W–40W

  • Versatile Storage & Connectivity:

    • NVMe M.2 Key-M storage support

    • Multiple Ethernet ports including 2.5Gbps and 1Gbps

    • USB 3.2 Gen 2 and USB 2.0 ports for peripherals and cameras

    • Wi-Fi/BT and LTE/5G optional connectivity

  • Advanced Camera Input Options:

    • 4× PoE Ethernet or SerDes camera input

    • FPD-Link IV or MIPI CSI-2 support

    • Power-over-Coax and PoE delivery

  • Industrial-Grade Design:

    • Operating temperatures: –25°C to 75°C (industrial)

    • Passive/active cooling, optional external fan

    • VESA/DIN rail mount for flexible installation

  • Security & Management:

    • TPM 2.0 for secure operations

    • Optional Out-of-Band (OOB) management module

  • Display & Interface:

    • HDMI 2.1 output up to 8K @ 30Hz

    • Serial, CAN bus, and GPIO interfaces for custom I/O

  • Operating System:

    • NVIDIA Jetpack 6.2 on Ubuntu 22.04 for seamless AI development

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The EdgeAI-ORN is a high-performance edge-AI computer. It uses NVIDIA® Jetson Orin™ NX and Nano modules. Therefore, it brings powerful AI workloads to the edge. In addition, it combines strong processing, rich connectivity, and a rugged build. As a result, businesses deploy the EdgeAI-ORN in robotics, AI vision, autonomous systems, and industrial automation.

This computer offers several configurations. It reaches up to 157 TOPS of AI performance. You can choose 4GB, 8GB, or 16GB of LPDDR5 memory. Also, you can set power modes from 7W to 40W. In addition, an M.2 Key-M NVMe slot supports high-speed storage. Dual Ethernet, four USB 3.2 Gen2 ports, and two USB 2.0 ports provide flexible connections. M.2 slots enable Wi-Fi/Bluetooth or LTE/5G modems.

The EdgeAI-ORN also gives advanced camera input options. You can connect up to four cameras using PoE Ethernet, GMSL2, FPD-Link IV, or MIPI CSI-2. Moreover, built-in power-over-coax and PoE delivery simplify installation and reduce external parts.

Engineers can deploy the EdgeAI-ORN in harsh environments with confidence. It runs between –25°C and 75°C. It also accepts 9–36V DC input with a twist-locking connector. Furthermore, passive or active cooling with an optional external fan maintains performance under heavy loads. VESA and DIN-rail mounting support quick installation. TPM 2.0 security and an optional out-of-band module enable safe remote control.

Finally, the EdgeAI-ORN runs NVIDIA JetPack 6.2 on Ubuntu 22.04. Consequently, developers get a familiar software platform for rapid AI model deployment. In short, the EdgeAI-ORN delivers compact size, high performance, and industrial reliability for next-generation edge-AI applications.

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