IBASE Launches PI800 PICO-ITX Motherboard for Industrial Edge Computing

The PI800 PICO-ITX motherboard, developed by IBASE Technology Inc., is designed for industrial and edge computing environments where physical space is limited. The board utilizes onboard Intel Atom x7000RE series processors to provide the necessary computational capacity for automation and control tasks within a 100mm by 72mm footprint. This hardware architecture supports up to 16GB of DDR5 SO-DIMM memory, which facilitates the handling of modern industrial workloads and data-intensive applications. By adopting the DDR5 standard, the motherboard achieves higher bandwidth compared to previous memory generations, which is required for efficient edge-based data processing.

Connectivity and Expansion Options
Connectivity for peripheral devices and networking is provided through dual 2.5GbE LAN ports, enabling high-speed data transmission in networked industrial environments. The PI800 includes USB 3.2 interfaces and serial COM ports supporting RS232, RS422, and RS485 protocols, allowing for integration with both legacy and modern industrial hardware. Storage requirements are met through SATA support and M.2 expansion slots. These M.2 slots also provide the flexibility to add wireless connectivity modules, such as Wi-Fi or cellular capabilities, depending on the specific requirements of the IoT deployment.

Industrial Reliability and System Integration
For visual applications such as human-machine interfaces, kiosks, or digital signage, the board features dual display outputs via HDMI and DisplayPort. The system operates on a +12V DC input and includes a Trusted Platform Module 2.0 for hardware-based security and data integrity. The low-power design of the Intel Atom processors allows for deployment in fanless enclosures, which minimizes maintenance needs by removing moving parts. This configuration ensures operational stability in mission-critical industrial settings where continuous uptime is required.

Edited by an industrial journalist, Lekshman Ramdas, with AI assistance.

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