Using FPGAs For AI

Artificial intelligence (AI) and machine learning (ML) are progressing at a rate that is outstripping Moore's Law. In fact, they now are evolving faster than silicon can be designed. The industry is looking at all possibilities to provide devices that have the necessary accuracy and performance, as well as a power budget that can be sustained. FPGAs are promising, but they also have some significant problems that must be overcome. The graphics processing unit (GPU) made machine learning (ML) possible. It provided significantly more compute power and had a faster connection to memory than the CPU.