Challenges exist to scaling AI, and among the most significant are those involving the data center infrastructure necessary for supporting these workloads.
more than that of the company’s previous generation chip. Rack configurations can easily surpass the 40-kilowatt range, which would be untenable for traditional air-cooling methods to manage. Today’s data centers must evolve to effectively manage these elevated heat loads.Fortunately, there are several liquid cooling technologies available to meet this challenge, including the growing-in-popularity rear-door heat exchange and direct-to-chip technologies.
, with the market growing from $251 million in 2021 to over $1.6 billion by 2027. This will significantly impact data center infrastructure requirements, and business leaders must know if their data center operators are willing to make the investment necessary to support this transition in the near term.as a heat conductor than air and it requires less infrastructure to operate.
Liquid cooling systems are relatively simple by contrast, but the upfront investment and complexities of implementing them in current data center infrastructure can pose significant challenges. Setups can be intricate and may require specialized maintenance. In addition, server designs may need adjustments, immersion approaches may void OEM warranties and there's the potential for damage and downtime from cooling system leaks.
That said, liquid or immersion-cooling systems don’t require as much backup or special flooring or aisle containment strategies. And the overall impact on energy consumption and costs can be significant. The results of a
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