AI is estimated to drive a 160% growth in demand for data centers by 2030, research from Goldman Sachs shows — an increase that could come at a cost to Europe's decarbonization goals, as the specialized chips used by AI firms are expected to hike the energy use of the data centers that deploy them.
High-powered chips — also known as graphics processing units, or GPUs — are essential for training and deploying large language models, which are a type of AI. These GPUs need high density computing power and produce more heat, which ultimately requires colder water to support reliable cooling of the chips.