Imagine a world where the backbone of modern technology, artificial intelligence, is silently pushing the US energy grid to the brink of collapse. AI data centers, the powerhouses behind everything from cloud computing to complex machine learning, are consuming electricity at an alarming
Procurement teams keep buying eye-popping accelerators and bigger nodes only to see throughput flatten, jobs stall on shuffles, and energy bills climb while GPUs sit idle because data movement and memory fit—not peak compute—call the shots. The paradox is familiar: systems look fast on paper yet
I'm thrilled to sit down with Matilda Bailey, a networking specialist with deep expertise in cellular, wireless, and next-gen solutions. With years of experience navigating the evolving landscape of data center technology, Matilda brings a unique perspective on how digital infrastructure is shaping
Introduction In an era where data breaches can cost organizations millions and compromise critical infrastructure, the quest for robust cybersecurity in data centers has never been more urgent, with over 80% of enterprises reporting an increase in cyber threats targeting their systems. This
Setting the Stage for AI-Driven Transformation The data center industry stands at a critical juncture in 2025, with artificial intelligence (AI) workloads surging to unprecedented levels, commanding over 75% of new projects. This seismic shift is not merely a trend but a fundamental redefinition of
In an era where digital infrastructure underpins nearly every aspect of daily life, the vulnerability of data centers to natural disasters like flooding poses a significant threat not just to technology, but to entire communities. These facilities, crucial for powering emergency services,
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