AI-focused data centers require new backup power strategies as their rack power density is rising sharply and their workloads fluctuate rapidly

How operators can introduce liquid cooling when servers or facility infrastructure are not yet ready for a full transition

While much of the industry discussion focuses on thermal performance and cooling system design, another factor is becoming increasingly important: the quality of the cooling media itself

Small changes can be a warning sign

Water has become one of the newest variables in data center planning – and one of the most regulated

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

Measuring water consumption at the facility level is no longer sufficient. A comprehensive approach must consider the full lifecycle, integrating energy production, geography, and climate

The benefits of RDHxs for today's AI environments

Adding liquid cooling to your existing data center can be complicated, but when done successfully, it effectively meets the power and GPU-intensive demands of high-density data centers

AI factories are pushing data center power and cooling requirements beyond traditional limits, making integrated AI data center infrastructure essential

With one in eight outages caused by cooling failures, can operators rely on systems built for comfort, not IT?

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

With the right cooling system and monitoring technology in place to manage and optimize its performance, operators can reduce energy costs and water consumption

The path toward adaptive, resilient liquid cooling

Delivering future-ready digital infrastructure requires intense focus, system-level integration, and ecosystem collaboration

The key ingredients for mitigating the escalated risks associated with liquid cooling

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

How data center leaders can ensure their infrastructure is prepared for the demands of AI-driven workloads by reframing liquid cooling as a strategic investment, rather than simply an upfront investment

AI has redrawn the thermal and electrical map of data center infrastructure. But when liquid and power mix, safety is not assured; it’s engineered

High-density heat is the new bottleneck. Which liquid cooling and heat rejection strategies are best equipped to handle it?

How to successfully implement liquid cooling to manage heat in high-density computing environments

Traditional air-cooling systems are being pushed to their limits, compelling data center managers to rethink and innovate their cooling strategies with existing infrastructure

How CDUs expertly manage intense heat loads from AI demands while enhancing efficiency, scalability, and sustainability

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

As AI factories that produce intelligence from existing content, new data centers must consider computing technologies available today and how to remove the heat created by these powerful servers

Quantifying liquid cooling’s impact on power usage effectiveness (PUE) and energy consumption when introduced to an air-cooled data center