In an article published by the Wall Street Journal, which centers on Nvidia’s pivotal role and success in the artificial intelligence (AI) sector, CSET’s Hanna Dohmen shares her expertise on graphics processing units (GPUs). The article highlights the importance of Nvidia’s GPUs as critical components. Unlike standard computer chips that perform computations serially, GPUs are capable of parallel processing, executing numerous calculations simultaneously. This capability, initially developed to enhance video game performance, became crucial for AI development around 2012.
Dohmen emphasized the efficiency of GPUs in AI applications by stating, “They are able to do more computations per unit of energy consumed by being able to incorporate huge numbers of smaller and smaller transistors.”
They are able to do more computations per unit of energy consumed by being able to incorporate huge numbers of smaller and smaller transistors.CSET Research Analyst, Hanna Dohmen
Read the full article in The Wall Street Journal.