ADLINK embedded MXM graphics modules

ADLINK Technology has introduced its embedded MXM-based graphics modules, based on NVIDIA’s Turing architecture, to accelerate edge AI inference in SWaP-constrained applications.

GPUs are increasingly used to provide AI inferencing at the edge, where size, weight and power (SWaP) are key considerations. The embedded MXM graphics modules offer high-compute power required to transform data at the edge into actionable intelligence and come in a standard format for systems integrators, ISVs and OEMs.

The modules provide a good balance between size, weight and power for edge applications, where the demand for more processing power continues to increase. Leveraging NVIDIA’s GPUs based on the Turing architecture, users can increase their edge processing performance with ruggedised modules that are fit for any environment, while remaining inside their SWaP envelope.

The graphics modules are designed to accelerate edge computing and edge AI in compute-intensive applications, particularly in harsh or environmentally challenging applications such as those with limited or no ventilation, or corrosive environments. Examples include medical imaging, industrial automation, biometric access control, autonomous mobile robots, transportation, and aerospace and defence. The need for high-performance, low-power GPU modules is increasingly critical as AI at the edge becomes more prevalent.

The modules provide acceleration with NVIDIA CUDA, Tensor and RT Cores; are one-fifth the size of full-height, full-length PCI Express graphics cards; offer more than three times the life cycle of non-embedded graphics; and consume as low as 50 W of power.