Schneider Electric launched a guide to build AI-optimised data centres through new physical infrastructure design. "The AI Disruption: Challenges and Guidance for Data Center Design," is an industry-first guide that serves as a comprehensive blueprint for enterprises wanting to maximise the use of AI for their data centres.
Future of data centre design
Schneider Electric’s blueprint allows enterprises to design data centres that are fully optimised for AI.
“With growing energy expenses and environmental concerns, data centres must prioritise energy-efficient hardware. This includes the implementation of high-efficiency power and cooling systems as well as the adoption of renewable energy sources. These measures not only help cut operational costs but also contribute to reducing the carbon footprint of data centres," Lee Siew Keong, head of Secure Power Division Singapore, at Schneider Electric said.
AI-optimised data centres
Schneider Electric's AI-Ready Data Centre Guide addresses key considerations in optimising AI for data centres such as key AI attributes that can be leveraged for infrastructure, assessing and supporting track power densities of AI training servers, achieving a successful transition from air cooling to support the growing thermal design power (TDP) of AI workloads, proposed rack specifications to better accommodate AI servers, using data centre infrastructure management (DCIM), electrical power management system (EPMS) and building management system (BMS) software for creating digital twins of the data centre, operations and asset management and future outlook of emerging technologies.
