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The Gigawatt Era: From Hyperscale To Exascale

Feb 29, 2024 - forbes.com
The article discusses the impact of AI and high-performance computing (HPC) technologies on the design, scale, and operations of data centers, leading to the emergence of a new class of data centers known as exascale. These data centers, potentially housing 100 MW to 500 MW in stand-alone facilities and in clustered campuses, are being driven by the rapid emergence of AI and other HPC services. However, they face challenges such as the need for electrical power and community response.

Despite these challenges, the importance of exascale deployments is highlighted. They have proven to be more efficient, even as they handle extraordinary growth in the services they provide. They also improve power utilization, sustainability metrics, and reduce duplicated equipment and inefficient use of real estate. The article concludes that to support the significant demand for data center capacity generated by AI and associated technologies, exascale solutions can ensure an efficient, clean, and community-minded response.

Key takeaways:

  • AI and high-performance computing technologies are impacting the design, scale, and operations of data centers, leading to the introduction of exascale data centers.
  • Exascale data centers face challenges such as the need for large amounts of electrical power and the need to be good neighbors in the communities where they are built.
  • Despite these challenges, exascale deployments are important because they have proven benefits of scale, including improved power utilization efficiency and sustainability metrics.
  • Exascale solutions can help ensure that the growing demand for data center capacity, driven by AI and associated technologies, is met in an efficient, clean, and community-minded way.
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