While training has been the focus, inference is where AI's value is realized. Training clusters need large amounts of power.

More efficient AI training approaches could reduce data center power requirements, make AI modelling more accessible and increase data storage and memory demand.

RAND Corporation says AI data centers could require 10 gigawatts of additional power capacity in 2025, requiring more power ...

From AI-driven operations to the growing importance of sustainability, the future of data center training must evolve to address these new challenges. Hear key findings from latest DCD>Academy surveys ...

Advanced Micro Devices (NASDAQ: AMD), and Micron Technology (NASDAQ: MU) plunged on news that a Chinese start-up called ...

We recently compiled a list of the 10 AI News Updates Making Headlines Right Now. In this article, we are going to take a ...

The rapid rise of data centers has put many power industry demand forecasters on edge. Some predict the power-hungry nature ...

Speaking during an earnings call after the results had been posted, AMD CEO Dr. Lisa Su said its data center segment ...