If you’re unsure about the load of different AI workloads, start with the cloud and keep a close eye on the associated costs by tagging every resource with the responsible team.

How wisely IT and business leaders plan and choose infrastructure can keep them from being doomed to pilot purgatory or AI damnation.

A research brief from CoBank looks at how farm-centric ag tech tools can boost customer relationships and efficiency.

As few as two years ago, almost no one had any idea that AI server farms would become the most electricity-hungry business in ...

Discover how to run AI offline for privacy, control, and zero cloud fees. Learn to set up open-source tools and unlock local ...

In Japan, telecom operator KDDI is working with HPE to construct Nvidia-powered AI infrastructure at the Osaka Sakai data ...

When enterprise adoption requires server farms full of energy-hungry GPUs just to run basic AI services, we face both an ...

Utilities in the developed world are stressing over how to keep up with demand from data centres and artificial intelligence ...

While beneficial uses of AI continue to increase, its biggest downfall is the pollution it produces. However, this tech may ...

Bloomberg reports that Microsoft is preparing to lay off thousands of workers next month, with most of the cuts expected to ...

Spiking power bills are driving hyperscalers to consider extreme measures. Is placing data centers underwater a sensible way ...

AI infrastructure is expensive, but xAI is one of the most buzzworthy companies in a highly competitive field.