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 ...

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

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

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

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

As automakers navigate the transition to software-based vehicles, Nvidia's autonomous driving data center emerges as a key solution provider. Save my User ID and Password Some subscribers prefer ...

Microsoft on Tuesday said it has changed some key terms of a deal with OpenAI after the ChatGPT creator announced a joint ...