Texas State University recently announced a partnership with Dell Technologies for a case study of Dell's Data Science Workstations (DSWs) for highspeed computing.
The university said that as its research initiatives venture deeper into areas of big data, machine learning and artificial intelligence, computing power and processing speed become a limiting factor. To remedy that computing bottleneck, Dell provided Damian Valles, an assistant professor in the Ingram School of Engineering, and Larry Fulton, a professor in the School of Health Administration, with DSWs incorporating high performance computing (HPC) technologies equipped with advanced graphic processing units (GPUs) for evaluation.
“What the machines are built for is to process the data needed to develop AI models — what we understand to be artificial intelligence — computer-generated models to help us solve specific problems. I'm in engineering, so I'm focused on solving engineering problems. That could be done with machine learning, but because these problems are data driven, the AI needs data in order to self-train,” Valles said. “The problem is that the data can be very large and take a long time to run the whole thing.
