Cooling without compromise: Reducing water dependency in the AI buildout
In this Insight Hour, we look at why AI infrastructure is not built in a single way: cooling architecture, chip density, facility design and the choice between air cooling, direct-to-chip liquid cooling, immersion and hybrid systems all shape how much energy and water a data centre consumes. As governments, communities and businesses weigh the costs and benefits of new data centre development, engineering decisions are critically important.
How can AI operators reduce dependence on water without increasing energy use? What trade-offs are real, which are misunderstood, and what does responsible AI computing look like in practice?
Watch the webinar
Watch the webinar
In this Economist Enterprise webinar, hear how to cool without compromise and reduce water dependency in the AI buildout, featuring Professor Shaolei Ren from University of California Riverside, Pouya Lavian from the U.S. Environmental Protection Agency, and Nebius’s Daria Mukhortova and John Sutter.
