Globenewswireยท2025-09-18 11:15Core Insights - Schneider Electric, in collaboration with NVIDIA, has announced new reference designs aimed at accelerating the deployment of AI infrastructure solutions for data centers [1][11] - The designs focus on integrated power management and liquid cooling systems, enhancing interoperability with NVIDIA Mission Control and supporting the latest advancements in AI technology [2][6] Reference Design Overview - The first reference design is the industry's first critical framework for integrated power management and liquid cooling control systems, enabling seamless management of complex AI infrastructure components [2][4] - The second reference design supports AI infrastructure deployment for AI factories with a maximum power capacity of 142 kW per rack, specifically designed for NVIDIA GB300 NVL72 racks [3][9] Technical Specifications - The reference designs cover four technical areas: facility power, facility cooling, IT space, and lifecycle software, and are compliant with both ANSI and IEC standards [3] - The designs include advanced features such as redundant systems for power and cooling, and new guidance for measuring AI rack power profiles to ensure high uptime and reliability [8][14] Strategic Importance - Schneider Electric's reference designs are intended to help data center operators overcome deployment challenges associated with high-density, GPU-accelerated AI clusters, optimizing for cost, efficiency, and reliability [5][11] - The collaboration with NVIDIA aims to provide a validated blueprint for AI factory digital twins, enabling operators to optimize their advanced computing infrastructure [6][10] Future Readiness - The new reference designs are described as future-ready and scalable, designed to meet the surging demand for AI and to redefine data center architectures through integrated intelligence across power, cooling, and operations [6][7] - Schneider Electric continues to develop a range of AI reference designs for various scenarios, demonstrating a commitment to energy efficiency and resilience in data center architecture [11][12]