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The performance experienced in GPU accelerated applications is often by orders of magnitude—10 to 100 times faster than CPU-only computing. GPU accelerated servers now power energy-efficient datacenters in government labs, universities, enterprises, and small-and-medium businesses around the world. GPUs are accelerating applications in platforms ranging from cars, to mobile phones and tablets, to drones and robots. GPU computing has demonstrated much progress with enhancing artificial intelligence performance with deep learning algorithms.

This paper presents key aspects of GPU computing and highlights innovations Technica has made in GPU accelerating its Big Data products: FUNL and SQuadron.