Flexible Computing Platforms for Diverse Industrial Applications
In today’s rapidly evolving industrial landscape, businesses need computing platforms that offer flexibility, reliability, and long-term performance. Giada provides a smarter approach to industrial deployments with its AF208 x86 Industrial PC and AF708 ARM Industrial PC, both featuring the same compact fanless enclosure while offering different platform choices to meet diverse application requirements.
 
Designed for industrial automation, embedded systems, and edge computing, these compact fanless PCs simplify system integration by allowing customers to select the ideal architecture and operating system without changing the overall hardware design.
 
AF208: Reliable x86 Performance with Wide OS Compatibility
Powered by Intel® Alder Lake-N processors, Giada AF208 delivers efficient and stable computing performance for demanding industrial environments. Supporting both Windows 10/11 and Linux Ubuntu, AF208 provides excellent software compatibility for applications such as industrial automation, machine control, smart manufacturing, and edge computing.
 
With a wide operating temperature range from -20°C to 60°C, AF208 ensures reliable operation in challenging environments where durability and stability are essential.
 
AF708: Efficient ARM Computing for Embedded Innovation
For applications requiring energy efficiency and flexible embedded solutions, Giada AF708 features the Rockchip® RK3576 ARM processor and supports Android 14 and Debian 12 operating systems. Its ARM-based architecture delivers optimized performance for smart devices, customized solutions, embedded applications, and AI-enabled edge deployments.
 
By offering both x86 and ARM platforms within a unified fanless design, Giada enables developers, system integrators, and OEM customers to build solutions faster and with greater flexibility. From smart manufacturing and industrial automation to edge AI and embedded applications, Giada helps transform innovative ideas into reliable real-world deployments.