Data Centre Must Adapt Physical Infrastructure Design to Meet Evolving Needs in the Era of Artificial Intelligence (AI) Disruption
Sydney, Australia – Schneider Electric, a leader in the digital transformation of energy management and automation, have today announced the launch of an industry-first guide to addressing new physical infrastructure design challenges for data centres to support the shift in artificial intelligence (AI)-driven workloads, setting the gold standard for AI-optimised data centre design.
Titled “The AI Disruption: Challenges and Guidance for Data Centre Design,” this groundbreaking document provides invaluable insights and acts as a comprehensive blueprint for organisations seeking to leverage AI to its fullest potential within their data centres, 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 centre 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 centres must adapt to meet the evolving power needs of AI-driven applications effectively.
Pioneering the Future of Data Centre Design
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 centres. 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
