To effectively handle all the data being created in the world today, we need GPU computing.
To harness this goldmine of data, artificial intelligence and machine learning has emerged, which uses algorithms to train data to find patterns. The problem is, traditional CPUs (central processing units) just can’t adequately handle the bulk processing required for this complex, boat-load of data, and this is where GPU (graphics processing unit) computing comes in.
GPU-based servers are fast becoming as necessary to effectively process data for artificial intelligence (especially for deep learning algorithms) as CPUs have been to do virtually everything else. While CPU’s have the capabilities to process tons of unstructured data—eventually—in a matter of days or hours, GPUs can do so in a matter of minutes.
Read more at InfoWorld
