New Datacentre Solutions for High-Density AI and Accelerated Computing

From News Desk

Schneider Electric, a company providing the digital transformation of energy management and automation, has announced new datacentre solutions, specifically engineered to meet the intensive demands of next-generation AI cluster architectures. Evolving its EcoStruxure Datacentre Solutions portfolio, Schneider Electric introduced a Prefabricated Modular solution that consolidates infrastructure for liquid cooling, high-power busway and high-density NetShelter Racks. In addition, EcoStruxure Rack Solutions incorporate detailed rack configurations and frameworks designed to accelerate High Performance Computing (HPC) and AI datacentre deployments. The new EcoStruxure Pod Data Center and EcoStruxure Rack Solutions are now available globally.

Organisations are deploying AI clusters and grappling with extreme rack power densities, which are projected to reach 1MW and beyond. Schneider Electric’s new line of solutions equips customers with integrated, data-validated and easily scaled white space solutions that address new challenges in pod and rack design, power distribution and thermal management.

“The sheer power and density required for AI clusters create bottlenecks that demand a new approach to data center architecture,” said Himamshu Prasad, Senior VP, EcoStruxure IT, Transactional & Edge and Energy Storage Centre of Excellence at Schneider Electric. “Customers need integrated infrastructure solutions that not only handle extreme thermal loads and dynamic power profiles but also deploy rapidly, scale predictably and operate efficiently and sustainably. Our innovative next-generation EcoStruxure solutions that support NVIDIA technology address these critical requirements head on,” he said.

“Schneider Electric’s innovative solutions provide the reliable, scalable infrastructure our customers need to accelerate their AI initiatives,” said Vladimir Troy, VP, datacentre engineering, operations, enterprise software and cloud services at NVIDIA. “Together, we’re addressing the rapidly growing demands of AI factories – from kilowatt to megawatt-scale racks – and delivering future-proof solutions that maximize scalability, density and efficiency.”