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

As AI reshapes industries, data centers have evolved into critical drivers of innovation, sustainability, and customer trust.

According to a newly published forecast report by Dell'Oro Group, the trusted source for market information about the telecommunications, security, networks, and data center industries, the global ...

Deploying AI at scale presents enormous challenges, with workloads demanding massive compute power and high-speed ...

Data centers are evolving from power consumers to key assets in the grid. In The Data Center Revolution, Kirk Offel and Daniel Crosby discuss how on-site generation, battery storage, and demand ...

Critics say that if We Energies spends several billion dollars on new gas plants – just as renewable fuels gain traction – ...

Supermicro, Inc. (NASDAQ: SMCI), a Total IT Solution Provider for AI/ML, HPC, Cloud, Storage, and 5G/Edge, is announcing full ...

OGE Energy stock price is high both in the 52-week cycle and relative to analyst targets, and the ~4% dividend is less than a ...

With ample free cash flows, Kinder is pursuing more clean energy investments. Its energy transitions group is pursuing investments in renewable natural gas, biofuels, and carbon capture projects. Any ...

The crypto market is the most vibrant and competitive space where assets compete with each other to capture the limelight … ...

Learn what happens when AI-driven workloads push enterprise data storage to its limits. Traditional storage systems don’t fit ...