Industrial IoT Mini Computer: RCO-1000-EHL – Reliable Performance at the Rugged Edge with Intel 11th Gen


Key Points:

  1. Reliable performance for industrial IoT edge applications with fanless/cableless design, wide temp range, TPM 2.0 Security.
  2. Scalable and flexible with customizable universal I/O brackets for modular configurations and quick maintenance/upgradability.
  3. Empowered by Intel 11th Gen with 60% performance improvement, 5x faster graphics, up to 32GB DDR RAM.
  4. Enhanced connectivity with 5G, 4G/LTE, Wi-Fi 6, Bluetooth 5, embedded CAN bus for direct communication.
  5. Various mounting configurations, ultra-rugged design for industrial IoT deployments anywhere.



The RCO-1000-EHL is an industrial IoT mini computer that delivers reliable performance at the rugged edge. It has a fanless and cableless design, and offers enhanced durability with a wide operating temperature range, power impairment resistance, shock and vibration resistance, and TPM 2.0 Security. Powered by Intel 11th Gen, it boasts a 60% performance improvement, 5 times faster graphics, up to 32GB DDR RAM, and a 15-year life cycle.

One of its key features is its customizable and scalable universal I/O brackets, allowing for modular I/O configurations and quick maintenance and upgradability. It supports up to 3x Universal I/O Brackets and can be easily configured for various applications.

The RCO-1000-EHL is also equipped with the Hailo-8™ M.2 module, an AI accelerator that delivers data center-class performance for real-time deep learning inferencing. It supports various connectivity options including 5G, 4G/LTE, Wi-Fi 6, Bluetooth 5, and embedded CAN bus for direct communication with other machines and network devices.

With various mounting configurations such as side mount, VESA mount, wall mount, and optional DIN-Rail mount, the RCO-1000-EHL is designed for industrial IoT mini computer deployments anywhere. Its ultra-rugged design, compact form factor, and high-speed I/O options such as 2.5Gb Ethernet and USB 3.2 Gen 2 make it ideal for demanding edge computing applications.

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