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    Datacentre Solutions: Why data centers can't keep up with AI (and what actually works)

    2 MIN | January 14, 2026

    What if your data center could fix itself before anything breaks?

    AI workloads require smarter infrastructure strategies. Explore the maintenance approach that's more cost-effective and avoids breakdowns.

    How predictive maintenance saves $9,000 per minute 

    AI workloads are consuming more power than just a few years ago, creating new demands on data center infrastructure. While traditional maintenance approaches struggle to keep pace, organizations that adapt early gain a clear advantage. 

    Vivek Swaminathan, director of products and solutions for Digital Workplace Solutions, explores this infrastructure opportunity in Datacentre Solutions. He shows how combining liquid cooling systems with predictive maintenance platforms helps organizations stay ahead of equipment issues before they impact operations. Companies using this approach report lower maintenance costs and fewer unexpected breakdowns. 

    With IT leaders building expertise in high-density AI infrastructure, predictive platforms help teams extend their capabilities and keep critical systems performing at their best.  

    Discover how Unisys' field services and support solutions can help your organization build infrastructure that keeps pace with AI workloads. 

    Read the article

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