In deep learning applications, FPGA accelerators offer unique advantages for certain use cases. In artificial intelligence applications, including machine learning and deep learning, speed is everything. Whether you’re talking about autonomous driving, real-time stock trading or online searches, faster results equate to better results. This need for speed has led to a growing debate on the best accelerators for use in AI applications. In many cases, this debate comes down to a question of server FPGAs vs. GPUs — or field programmable gate arrays vs. graphics processing units. To see signs of this lively debate, you … READ MORE