Sponsored Retrofitting existing data centers for AI: Two practical paths to liquid cooling
How operators can introduce liquid cooling when servers or facility infrastructure are not yet ready for a full transition
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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
The question is no longer simply: "Which cooling component performs best?" It is: "Which thermal architecture gives us the performance and headroom to support what comes next?"
… it's facing a convergence
The AI factory era has arrived
And why engineering discipline is essential to match AI ambitions
And why the right investment is necessary to keep up with AI workloads
As AI continues to place greater demands on data center infrastructure, thermal management cannot continue to be treated as a SKU
There's plenty to think about for the AI future
Water cooling and modular designs prove essential to managing increased power load and heat
As AI and power demands reshape data centers, innovative cooling, and adaptable site selection are driving a new, sustainable era of advanced compute infrastructure
Sustainability has a role to play in the creation of AI-era ready data centers
Real-world challenges and necessary transformations in space, power, and cooling to support our hyperconnected future
Transforming data center design and infrastructure to tackle rising power consumption and heat while prioritizing sustainability and efficiency
Reimagining the data center for sustainable growth
Reflecting on the achievements and lessons learned in 2023 and how the industry is building on the past as we plan for the future
Why modularity will be critical for data centers and the AI economy
Increasing data center efficiency is a complex task. Humans could use a little help