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For years,‌ artificial intelligence has been the topic of science fiction,‌ but AI has now become a reality,‌ that reality has put artificial intelligence in data centers - and the trend is growing.‌.‌.‌
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Hi ,

For years, artificial intelligence, or AI has been the topic of science fiction, from Skynet in the Terminator movies to more benevolent systems. But AI has now become a reality, and that reality has put artificial intelligence in data centers, and the trend is growing. Data centers employing this technology are often referred to as enhanced data centers.
Artificial Intelligence in Data Centers: The New Reality
But this idea of an enhanced data center will likely become the norm, as customer expectations rise. Unprecedented demand means and centers rapidly reaching capacity mean a need for one of two solutions: increased capacity and increased efficiency. Artificial intelligence can help with both. Here’s how.
Artificial Intelligence and Data Center Emissions Control
Data centers use a lot of power, and that power often converts to carbon emissions. While technology advances and the use of solar can help, there are other solutions as well. It’s all about the efficient use of power, HVAC efficiency and flow rates, and more.

How does it work? Well, sensors, relatively small ones, can be placed throughout the data center to measure airflow rates, temperature, humidity, and power consumption in detail, down to individual racks and components. The artificial intelligence algorithm will learn from data it gathers, and can do one of two things with that data:

  • The AI can take control – cycling HVAC systems as they are needed, redirect fans and other smart devices, increasing or decreasing speed to enhance flow rates, and more. This technique is being deployed in both new and existing data centers when possible.
  • AI can report – What the AI can’t control, such as physical placement of racks, wiring, and more can be reported on and recommendations made to human operators who can make those changes.

For instance, let’s say that you have a human maintenance crew who performs certain tasks at the data center such as cleaning, moves, additions, and transfers. This involves those bodies impacting airflow, opening and closing doors adding to HVAC loads, and more. The AI can recommend the best time when there is the lowest demand on these systems, to perform these tasks.

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Louis Chompff
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louisc@andcable.com
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