Motivair液冷技术
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施耐德电气以前瞻架构加速赋能新一代AI基础设施部署,再推多款全新参考设计
Cai Fu Zai Xian· 2025-09-29 09:18
Core Insights - Schneider Electric has launched new reference designs to empower data center operators to deploy AI infrastructure quickly and efficiently at any scale [1][4] Group 1: Reference Designs - One reference design integrates Motivair liquid cooling technology, being the first to combine power distribution management with liquid cooling control, enabling seamless management of complex AI infrastructure components [3][4] - Another reference design focuses on a single cabinet power density of up to 142kW for AI factory infrastructure deployment, particularly the GB300 NVL72 rack, providing a framework for next-generation high-performance computing [3][4] Group 2: Industry Challenges and Solutions - The rapid evolution of artificial intelligence necessitates adaptable reference design frameworks for data center operators to address challenges in deployment speed and operational efficiency for high-density GPU-accelerated AI clusters [4] - Schneider Electric's standardized reference designs aim to optimize cost, efficiency, and reliability while laying a solid foundation for AI factory construction [4][5] Group 3: Strategic Partnerships and Future Developments - Jim Simonelli, CTO of Schneider Electric, emphasized that the new reference designs simplify AI infrastructure design and deployment while being scalable for future demands [4] - Scott Wallace from NVIDIA highlighted the integration of critical infrastructure data with NVIDIA Mission Control, providing a validated solution for data center operators to prepare for future developments [4][5] Group 4: Comprehensive Offerings - Schneider Electric has developed nine AI reference designs tailored for various application scenarios, including prefabricated modules and data center renovations, to meet diverse customer needs [5][6] - The company incorporates industry insights and practical experience into each reference design, demonstrating its commitment to advancing data center architecture towards a more efficient and resilient future [6]