GPU-accelerated computing is the use of a graphics processing unit (GPU) together with a CPU to accelerate deep learning, analytics, and engineering applications. MXM3 based GPUs are the most TDP / energy consumption efficient solution for high density and/or small form factor GPU computing. GPU accelerators now power energy-efficient data centers in government labs, universities, enterprises, and small-and-medium businesses around the world. They play a huge role in accelerating applications in platforms ranging from crypto Currency Mining, Deep Learning, Artificial Intelligence to cars, trains, airplanes, spaceships, drones, and robots. Whether you design cars, render scenes with millions of polygons, or work with large models for seismic interpretation, a multi-GPU system will significantly increase the performance you have available, and will cut these processing and computing times into a fraction of what would be accomplished with CPUs or even single GPUs.
