NVIDIA Backed Emerald AI is Solving AI’s Energy Crisis

“AI factories can flex when the grid is tight, and sprint when users need them to.”
In 2024, Google’s data centers consumed over 30.8 million megawatt-hours of electricity: more than double what they used in 2020. With massive GPU clusters humming 24/7, Google now uses as much electricity in a year as some countries. While the company has made strides in sourcing clean energy, the rate of demand growth is outpacing both infrastructure buildout and sustainability goals. And Google is hardly alone. As AI workloads intensify across hyperscalers like Meta, Microsoft, and OpenAI, the energy requirements of data centers are on a collision course with the physical limits of the
Subscribe or log in to gain unlimited access to all of our content, newsletters, invitations and events updates

📣 Want to advertise in AIM Research? Book here >

Picture of Mukundan Sivaraj
Mukundan Sivaraj
Mukundan is a writer and editor covering the AI startup ecosystem at AIM Media House. Reach out to him at mukundan.sivaraj@analyticsindiamag.com.
25 July 2025 | 583 Park Avenue, New York
The Biggest Exclusive Gathering of CDOs & AI Leaders In United States