Ayodeji Ayenuwa
Schneider Electric, a prominent player in energy management and automation, has launched an innovative guide titled “The AI Disruption: Challenges and Guidance for Data Center Design.”
This guide addresses the evolving landscape of artificial intelligence (AI) workloads and their impact on data centers.
AI applications have significantly reshaped industries, from healthcare to finance, manufacturing, transportation, and entertainment, leading to an increasing demand for processing power.
According to Schneider Electric, AI workloads are projected to grow at a compound annual growth rate (CAGR) of 26-36% by 2028, placing substantial stress on data centers.
Pankaj Sharma, executive vice president of Schneider Electric’s Secure Power Division and Data Center Business, highlighted the challenges AI presents to data centers: “AI applications, especially training clusters, are highly compute-intensive and require large amounts of processing power provided by GPUs or specialized AI accelerators. This puts a significant strain on the power and cooling infrastructure of data centers. As energy costs rise and environmental concerns grow, data centers must focus on energy-efficient hardware, such as high-efficiency power and cooling systems, and renewable power sources to help reduce operational costs and carbon footprint.”
The white paper from Schneider Electric serves as a comprehensive blueprint for organizations aiming to harness AI’s full potential within their data centers. It offers insights into AI workload attributes and trends, emphasizing the need for robust computing power.
Evan Sparks, chief product officer for Artificial Intelligence at Hewlett Packard Enterprise, emphasized the growth of the AI market and the need for a holistic approach: “As AI becomes a dominant workload in the data center, organizations need to start thinking intentionally about designing a full stack to solve their AI problems. We are already seeing massive demand for AI compute accelerators, but balancing this with the right level of fabric and storage as well as enabling this scale requires well-designed software platforms.”
Schneider Electric’s AI-Ready Data Center Guide delves into key considerations related to power, cooling, racks, and software management.
It offers practical guidance for handling high rack power densities, transitioning from air cooling to liquid cooling for AI workloads, and implementing data center infrastructure management software for digital twins of the data center.
In summary, Schneider Electric’s release of “The AI Disruption: Challenges and Guidance for Data Center Design” addresses the increasing demands of AI on data center infrastructure, providing essential insights and positioning Schneider Electric as a leader in AI-optimized data center design.
For more Information, visit Schneider Electric’s official website
Techrectory with Agency Report.
