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Schneider Electric, the leader in the digital transformation of energy management and automation, today announced the launch of an industry-first guide to addressing new physical infrastructure design challenges for data centers to support the shift in artificial intelligence (AI)-driven workloads, setting the gold standard for AI-optimized data center design.
Titled “The AI Disruption: Challenges and Guidance for Data Center Design,” this groundbreaking document provides invaluable insights and acts as a comprehensive blueprint for organizations seeking to leverage AI to its fullest potential within their data centers, including a forward-looking view of emerging technologies to support high density AI clusters in the future.
Artificial Intelligence disruption has brought about significant changes and challenges in data center design and operation. As AI applications have become more prevalent and impactful on industry sectors ranging from healthcare and finance to manufacturing, transportation and entertainment, so too has the demand for processing power. Data centers must adapt to meet the evolving power needs of AI-driven applications effectively.
AI workloads are projected to grow at a compound annual growth rate (CAGR) of 26-36% by 2028, leading to increased power demand within existing and new data centers. Servicing this projected energy demand involves several key considerations outlined in the White Paper, which addresses the four physical infrastructure categories – power, cooling, racks and software tools. White Paper 110 is available for download here.
Schneider Electric’s AI-Ready Data Center Guide explores the critical intersections of AI and data center infrastructure, addressing key considerations such as:
● Guidance on the four key AI attributes and trends that underpin physical infrastructure challenges in power, cooling, racks and software management.
● Recommendations for assessing and supporting the extreme rack power densities of AI training servers.
● Guidance for achieving a successful transition from air cooling to liquid cooling to support the growing thermal design power (TDP) of AI workloads.
● Proposed rack specifications to better accommodate AI servers that require high power, cooling manifolds and piping, and large number of network cables.
● Guidance on using data center infrastructure management (DCIM), electrical power management system (EPMS) and building management system (BMS) software for creating digital twins of the data center, operations and asset management.
● Future outlook of emerging technologies and design approaches to help address AI evolution.
For more information about Schneider Electric’s AI data center solutions and expertise, please visit Schneider Electric.
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