AMD G-Series motherboards in Mini-ITX format

July 23, 2015 // By Graham Prophet
These graphics-intensive low-power Mini-ITX boards host SoCs with integrated AMD Radeon graphics and configurable TDP for industrial-grade system designs

Congatec’s industrial-grade Mini-ITX motherboard portfolio gains two efficient low-power conga-IGX variants that are based on the Gen 2 AMD Embedded G-Series SoC processor (codenamed "Steppe Eagle") and feature powerful SoC integrated AMD Radeon graphics.

These low-power motherboards are widely scalable with a TDP ranging between 5 and 15W max. The AMD Radeon graphics offers, among other benefits, support for up to two independent displays and up to 4K (3840 x 2160 pixels) resolution. Configurable TDP makes it possible to optimise the cooling, the power supply and the entire system costs depending on the specific application.

These Gen 2 AMD Embedded G-Series SoC processor boards have been configured with industrial-grade design, from component selection and PCB layout for maximum reliability; support for I/O, IoT, drivers and design-in; to flexible batch sizes and long-term availability, which in the case of the conga-IGX Mini-ITX boards is 7 years. The new Mini-ITX motherboards are used primarily in applications that require powerful graphics for cost-efficient low-power devices. congatec expects the new boards to address applications in a broad range of computing sectors such as retail, digital signage and gaming as well as medical imaging, vision systems and industrial automation.

The new Gen 2 AMD Embedded G-Series SoC processor boards are available as a 2.2 GHz dual-core variant (10/15 W max. configurable TDP) or a 4x 1.2 GHz quad-core platform (5/7 W max. configurable TDP) that is optimised for multiprocessing. The boards also offer high-performance 4K graphics support including DirectX11.1 and OpenGL 4.2. Up to two displays can be controlled independently via DisplayPort 1.2, DVI or LVDS. The boards support OpenCL 1.2, which enables the GPU to process compute-intensive parallel tasks faster and more efficiently than the CPU.