In the last decade, the rapid proliferation of distributed energy resources (DERs), including rooftop solar panels, energy ...

The rise of nuclear energy in the data center, and the data center’s place in the energy transition, offer three key lessons ...

The platform that makes advanced data science accessible with Graph Neural Networks and Predictive Query Language.

Last week, DeepSeek unveiled its latest research, DeepSeek-V3.2-Exp. On its corporate blog, the company claims the new model can cut the cost of making predictions, known as inference, by 75%, from $1 ...

Progress offers a DataDirect Connector that allows organizations to connect applications to Microsoft Fabric's Synapse ...

Late Tuesday night, NorthWestern Energy announced it has signed a letter of intent to supply as much as 1,000 megawatts (one gigawatt) of electricity by the year 2030 to a proposed data center in ...

There is constant chatter surrounding the promise of generative AI, agentic AI, and – eventually – artificial general ...

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While training an AI model uses a lot of energy upfront, the ongoing process of answering millions of questions and creating content (called inference) can actually use even more energy over time. So, ...

As it confronts one of its biggest ever challenges — meeting the soaring energy demands of AI and cloud computing — the data centre industry is suddenly at the forefront of the power sector's ...

BUFFALO, N.Y. — We have heard from many of you concerned about higher electric bills. Some point out that higher natural gas prices for electric power generation is involved with rising costs. But the ...