Data center design has been shaped by a familiar set of priorities for years: keep systems available, resilient and ...

AI data centers face a new networking bottleneck as GPU clusters grow, making fabric design, congestion control, and vendor lock-in key infrastructure risks.

With AI training racks exceeding 30 kW and specialized systems spiking to 150 kW per rack, digital twins can help prevent thermal failures. Unlike standard chatbots, AI built on a digital twin ...

A designer’s choice of I/O connectors and interconnect protocols can be the difference between a massively profitable AI chip and a flop. I/O tradeoffs impact airflow, cooling, rack design, power ...

Recent industry trends, including the release of NVIDIA’s Rubin platform (developer.nvidia.com), point to a growing consensus that AI inference is reshaping data center architecture in a fundamental ...

Even though many communities are in open revolt against massive data centers needed to power artificial intelligence, a startup is betting that homeowners will welcome miniature data centers in their ...

With AI entering the scene and transforming the industry, data centers must be designed with flexibility while still providing customers with certainty.

AI data centers power tools such as chatbots and cloud services, but their growing energy demands are driving political and ...