Identifying which liquid cooling architecture to design for

Building the infrastructure of tomorrow requires an entirely new approach that moves far away from bespoke, piecemeal solutions

As data center power density climbs, successful infrastructure planning depends on understanding how power availability, cooling strategy, and deployment timelines influence one another

The time has come for the data center industry to agree upon a new efficiency metric, one that is both intuitive and informative

Built with scalability and flexibility at the core, AI pods enable operators to expand capacity as technology evolves – without rearchitecting their facilities

Organizations that modernize their brownfield spaces fastest will capture AI growth sooner and more efficiently

Adding liquid cooling to your existing data center can be complicated, but when done successfully, it effectively cools hotter workloads and keeps critical infrastructure running at peak uptime and efficiency

As AI data centers evolve, densities rise, and workloads intensify, the cooling strategy must evolve

AI is transforming industries, but it’s also reshaping the energy equation

With Motivair liquid cooling solutions for AI factories managing pressure drop, ΔT, and flow rate, silicon like Nvidia or AMD isn’t just functional – it’s unleashed

Why people are integral to the infrastructure of AI

Schneider Electric’s Steven Carlini reflects on some of his key takeaways from DCD>Connect London 2024

Examining the ever-evolving landscape of sustainability in the data center

Overcoming the daunting challenges presented by AI servers

Data center managers must now combine edge facilities and cloud services. That makes things more complicated