As embedded systems become more intelligent and application-specific, developers need computing platforms that reduce development time while delivering industrial-grade performance. The Giada iM1-210 is a compact SMARC 2.1.1 Computer-on-Module (COM) designed to meet these demands, offering a flexible and scalable foundation for industrial automation, edge computing, robotics, medical devices, and smart transportation.

Powered by the latest Intel® Atom® x7000RE (Amston Lake) processors, including the dual-core x7211RE and quad-core x7433RE, the iM1-210 delivers outstanding computing performance with low power consumption. Integrated Intel® UHD Graphics supports advanced multimedia processing and multiple display interfaces, making the module suitable for both industrial control and HMI applications.

Compliant with the SMARC v2.1.1 specification, the module measures just 82 × 50 mm, enabling developers to reuse the same compute core across multiple projects while designing custom carrier boards tailored to specific application requirements. This modular approach shortens development cycles, reduces non-recurring engineering (NRE) costs, and simplifies future platform upgrades.

The iM1-210 integrates onboard LPDDR5 memory, eMMC storage, dual 2.5GbE TSN Ethernet, SATA, PCIe Gen3, CAN Bus, MIPI-CSI, USB, UART, and other rich industrial I/O interfaces, providing exceptional connectivity for demanding embedded applications. It also supports a wide operating temperature range of -40°C to 85°C, ensuring reliable 24/7 operation in harsh industrial environments.

Whether developing industrial controllers, intelligent kiosks, machine vision systems, or AI-enabled edge devices, the Giada iM1-210 offers the flexibility and long lifecycle required for modern embedded products. By combining standardized SMARC architecture with customizable carrier boards, it enables OEMs and system integrators to accelerate product development while maintaining scalability for future generations.

The Giada iM1-210 is the ideal SMARC Computer-on-Module for organizations seeking a compact, reliable, and future-ready embedded computing platform that delivers performance, flexibility, and long-term value.