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What is liquid cooling and why is it key for AI Data centers?

As artificial intelligence (AI) continues to advance at a fast pace, data centers need to evolve to handle the growing demand for computing power. Traditional air-based cooling systems are struggling to keep up with the high heat generated by modern AI hardware. This is...

What is an AI hyperscale data center? — five features and three reasons they matter

An AI hyperscale data center is a large facility designed to support AI workloads on a massive scale In today’s digital world, artificial intelligence (AI) is growing rapidly. To support this growth, companies need powerful data centers that can handle massive amounts of data and...

Five reasons AI data centers require massive amounts of power

AI data centers must support intensive workloads such as deep learning, large-scale data analytics as well as real-time decision-making Artificial intelligence (AI) data centers are the backbone of modern machine learning and computational advancements. However, one of the biggest challenges these AI data centers...

The energy demands of AI infrastructure

AI infrastructure, especially purpose-built data centers, are creating a surge in power demand and foregrounding energy efficiency strategies The rapid growth of AI and the investments into the underlying AI infrastructure have significantly intensified the power demands of data centers. Globally, data centers consumed an...

HPE wins $1 billion deal with X for AI infrastructure

HPE's liquid cooling technology for AI infrastructure may have helped it secure the 10-figure deal HPE Senior Director Rupin Mohan this week on LinkedIn confirmed reports that HPE has won a $1 billion deal to supply Elon Musk’s X, formerly Twitter, with AI servers. Neither...