Discover Schneider Electric’s groundbreaking guide for AI-optimized data center design. Unlock AI’s full potential in your infrastructure.
Schneider Electric, a renowned leader in the realm of energy management and automation’s digital transformation, has introduced a groundbreaking guide aimed at tackling the new design challenges in physical infrastructure for data centers. This guide is tailored to support the surge in artificial intelligence (AI)-driven workloads, effectively setting the benchmark for designing data centers optimized for AI applications.
Titled “The AI Disruption: Addressing Data Center Design Challenges and Providing Guidance,” this pioneering document serves as a comprehensive blueprint for organizations seeking to harness AI’s full potential within their data centers. It offers invaluable insights and offers a forward-looking perspective on emerging technologies that will facilitate high-density AI clusters in the future.
The rise of Artificial Intelligence has ushered in profound changes and complexities in data center design and operations. As AI applications continue to make a significant impact across various industries such as healthcare, finance, manufacturing, transportation, and entertainment, the demand for processing power has escalated. Data centers must adapt swiftly to meet the evolving energy requirements of AI-driven applications effectively.
Pioneering the Future of Data Center Design
It is projected that AI workloads will experience a substantial compound annual growth rate (CAGR) of 26-36% by 2028, leading to a heightened demand for power within both existing and new data centers. To address this anticipated energy demand, the White Paper delves into critical considerations encompassing four key physical infrastructure categories: power, cooling, racks, and software tools. The White Paper 110, entitled “The AI Disruption: Challenges and Guidance for Data Center Design,” is readily available for download.
In an era where AI is reshaping industries and redefining competitiveness, Schneider Electric’s latest white paper lays the foundation for businesses to design data centers that not only support AI but are fully optimized for it. This white paper introduces innovative concepts and best practices, positioning Schneider Electric as a frontrunner in the evolution of data center infrastructure.
Lee Siew Keong, Head of Secure Power Division Singapore at Schneider Electric, emphasized the need to consider crucial attributes and trends associated with AI workloads for both new and existing data centers. He highlighted the computational intensity of AI applications, particularly training clusters, which demand substantial processing power, placing significant stress on the power and cooling infrastructure within data centers. With growing energy costs and environmental concerns, data centers must prioritize energy-efficient hardware, including high-efficiency power and cooling systems and the adoption of renewable energy sources. These measures not only reduce operational expenses but also contribute to lowering the carbon footprint of data centers.
This new blueprint, aimed at organizations seeking to maximize AI’s potential within their data centers, has garnered strong support from customers.
Evan Sparks, Chief Product Officer for Artificial Intelligence at Hewlett Packard Enterprise, stressed the significance of AI in enterprise technology, emphasizing the need to design a full stack solution to address AI challenges comprehensively. He also highlighted the importance of data management software and end-to-end data center solutions designed for sustainable computing.
Unlocking the Full Potential of AI
Schneider Electric’s AI-Ready Data Center Guide explores the critical intersections between AI and data center infrastructure. It provides guidance on key AI attributes and trends affecting power, cooling, racks, and software management. The guide offers recommendations for supporting high rack power densities of AI training servers and transitioning from air cooling to liquid cooling to accommodate the growing thermal design power (TDP) of AI workloads. It also proposes rack specifications tailored to AI servers’ requirements, including power, cooling, manifold and piping, and network cable considerations. Additionally, the guide offers insights on leveraging data center infrastructure management (DCIM), electrical power management system (EPMS), and building management system (BMS) software for creating digital twins of data center operations and assets. The document concludes with a forward-looking view of emerging technologies and design approaches to address the evolving landscape of AI.
Schneider Electric’s visionary initiative in unveiling “The AI Disruption: Challenges and Guidance for Data Center Design” marks a significant milestone in the realm of data center infrastructure. As the world witnesses the transformative power of artificial intelligence across various industries, the demand for data centers that can not only support but fully optimize AI workloads becomes paramount. This comprehensive guide provides a roadmap for organizations to navigate the intricate landscape of AI integration into their data centers, addressing critical challenges and offering innovative solutions. With AI workloads poised for exponential growth, Schneider Electric’s leadership and expertise position them at the forefront of the evolving data center infrastructure landscape. As businesses worldwide embrace the AI revolution, this white paper serves as an invaluable resource, guiding them towards unlocking the full potential of AI within their data centers while ensuring sustainability, efficiency, and competitiveness in the digital age.
For more information about Schneider Electric’s AI data center solutions and expertise, please visit Schneider Electric Singapore’s Data Centre Solutions and Networks page on se.com.