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Lanner Introduces Rugged EAI-I731 Edge AI Platform for Real-Time Industrial AI

By: Lanner Inc.
03 September, 2024
Lanner Introduces Rugged EAI-I731 Edge AI Platform for Real-Time Industrial AI
Lanner Introduces Rugged EAI-I731 Edge AI Platform for Real-Time Industrial AI
Lanner has launched the EAI-I731, an edge AI platform engineered to deliver low-latency AI inference in harsh industrial environments.

Lanner announces the launch of the EAI-I731 , a cutting-edge Edge AI platform engineered to deliver low-latency AI inference in harsh industrial environments. The EAI-I731 is designed to meet the rigorous demands of real-time computer vision applications, including visual quality inspection, intelligent traffic management, and multi-stream video analytics for physical security. Its robust construction ensures reliable operation across a wide temperature range of -25ºC to 65ºC, making it ideal for deployment in diverse and challenging settings. Key features of the EAI-I731:

  • Modular design: The EAI-I731 stands out for its scalable architecture, comprising a compute unit and an expansion unit, providing users with the flexibility to tailor the platform to their specific requirements.
  • Compute unit: Equipped with 12th, 13th, or 14th Gen Intel® Core processors and supporting up to 64GB of DDR5 memory, the compute unit offers unparalleled processing power for intensive AI workloads.
  • Expansion unit: Designed for enhanced functionality, the expansion unit supports additional 2x storage drive bays and 2x PCIe slots, making it compatible with NVIDIA A2 or L4 GPU cards.
  • Wireless connectivity: With built-in support for 5G, LTE, and WiFi, the EAI-I731 ensures robust and reliable wireless connectivity, essential for real-time data processing and AI inference at the edge.

It also features a wide array of versatile I/O options, including 2x 2.5Gbe RJ45, 8x USB, 2x COM, and 4x DIO ports, ensuring seamless integration with various industrial systems.

This modular design allows for easy scalability, enabling users to upgrade and customize the platform as their needs evolve.

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