Combining Deep Learning Accelerators and Graphics Processing Unit for Efficient Computing

Hardware used in implementing artificial neural networks is vital as it has a major role to play in the speed and efficiency of the whole system. It is also a stated fact that the artificial intelligence industry is at crossroads for which processor (Deep Learning Accelerators and Graphics Processing Unit) best fits the portfolio for the most powerful tool for deep learning. In this article, we conducted a comparative study on the two processors by highlighting their selling points and lapses and made a case for the two processors to work together in a system, where one processor covers the lapse of the other one to enhance efficient computing