With more operators moving or adding remote data centers to “the edge” we explore the benefits of implementation and the best practices for doing so While edge computing has been around for decades, ...

Best practices for AI data center projects vary based on community needs and location, but experts agree more of one thing can help to support a successful build: transparency. “The AI revolution ...

Cloud computing is now a key part of modern IT. Businesses, developers, and everyday users rely on cloud services to run apps ...

Measuring data center efficiency requires the right tools — not guesswork. This guide covers 20 platforms across six categories, from enterprise DCIM suites to cloud-native options like Hyperview, ...

As AI and machine learning workloads accelerate, data center power consumption is beginning to outstrip existing infrastructure capacity. To meet this rising demand, new high-voltage DC standards ...

Machine intelligence enables a new era of productivity and is becoming an integral part of our lives and societies across many disciplines and functions. Machine intelligence relies on computing ...

Few entities have as clear a view into the challenges and opportunities of data center growth as regulated utilities. They’re required to serve the customer – in this case, the data center developer – ...

The new IEA Energy and AI Observatory is proposed to monitor and analyze the energy consumption and linkages between AI and energy. Underlying its formation is the growing energy consumption of data ...