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Christopher Leonard on Muck Rack

Christopher Leonard

As seen in: CNN, CNN Business, Medium, MSN Canada, The New York Times, Bloomberg Businessweek, Bloomberg News, Business Insider, Post Outlook, The Guardian and
Author of "The Lords of Easy Money," "Kochland" and "The Meat Racket." Working on a book about the defense industry. Director of Watchdog Writers Group at MU.
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Articles

Planning liquid-cooled AI data centers around grid and power constraints

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By Vance Peterson, Steven Carlini, Christopher Leonard
| Data Center Dynamics Verified
AI is changing how data centers are planned, focusing more on where compute can realistically be deployed than on how much can be added. As data center power density grows, cooling, electrical infrastructure, and utility access have become one interconnected constraint. Higher-density AI racks demand a coordinated strategy, balancing available grid power, facility design, deployment timelines, and long-term operational efficiency.
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Upgrade legacy data centers for AI workloads with RDHx liquid cooling

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By Steven Carlini, Christopher Leonard
| Data Center Dynamics Verified
It wasn't that long ago that you operated a data center and you could plan for three, four, or many more IT refresh cycles without any major power or cooling updates. We are now in a new era of accelerated compute AI where power densities are growing fast from an average of around 10kW a per rack for CPU based cloud servers a few years ago to over 140kW per rack for the new NVIDIA NVL 72 GB300 (72 GPUs) for AI.
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Why 'tokens per watt' is crucial for measuring AI efficiency

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By Steven Carlini, Christopher Leonard
| Data Center Dynamics Verified
Steven Carlini is chief advocate, AI and data centers at Schneider Electric The time has come for the data center industry to agree upon a new efficiency metric, one that is both intuitive and informative Many companies want to understand power utilization to feel good about the AI they will come to rely on. To help organizations, the data center industry must agree upon using a new metric, one that should bridge the worlds of power use and AI compute work output.
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