As demands for AI continue to shift, so does the planning for the data centers expected to support this growth

… it's facing a convergence

The rise of generative AI, LLMs and real-time computing has meant that a reassessment is required of what “building at scale” means

In a fast-moving sector with constant innovation, learn how to retrofit for AI to accommodate space, power, and cooling

When you control your power, you control your timeline. What separates viable projects from stalled ones is the rapid availability of reliable energy

AI can and will be used as a transformative force, driving efficiency, sustainability and scalability in the digital era

As AI and power demands reshape data centers, innovative cooling, and adaptable site selection are driving a new, sustainable era of advanced compute infrastructure

Real-world challenges and necessary transformations in space, power, and cooling to support our hyperconnected future

There's no time to rest for the UK, it must think strategically to keep its market position

Industry technology must address critical capacity, cooling needs and support AI optimization

After the weary years of Edge hype, the reality is becoming clear

Like flying, AI is something we should use sparingly

A whole new holistic approach could be the answer

Why modularity will be critical for data centers and the AI economy

Nuclear power, AI writing, layoffs... and more

AI can improve your cooling, and a digital twin can improve your construction results

AI is bringing us driverless cars. What about autonomous data centers?

With machine learning on board, data centers can become smart enough to understand DCIM systems and tune their own performance