As AI workloads surge and data centers move to the edge, IT leaders face a core challenge: delivering dense, low-latency computing without compromising efficiency. Schneider Electric’s AI-ready infrastructure resolves this tension with scalable, high-performance solutions.
As artificial intelligence (AI) continues to accelerate, traditional data centers must evolve to handle increasingly complex and power-intensive workloads. However, the shift from centralized facilities to distributed, AI-ready edge environments introduces new challenges in sustainability, scalability, and operational efficiency.
In response to this shift, Schneider Electric addresses transformation with sustainable solutions that facilitate the seamless integration of AI. From innovative liquid cooling systems to intelligent power distribution and advanced data center infrastructure management (DCIM) software, these solutions enhance efficiency and support reliability in today’s rapidly evolving technological landscape.
In recent years, AI has transformed the operations of data centers. Traditional facilities, which once prioritized general computing, are now grappling with heightened requirements for power, cooling, and adaptability. As organizations increasingly adopt AI technologies, there is a growing need for environments that can support dense computing, low latency, and real-time analytics.
Schneider Electric projects that by 2028, more than 50% of all AI workloads will be processed at the edge, representing a substantial increase from 5% in 2023. As a result, modern data centers are transitioning from simple storage sites to AI-ready solutions, designed to meet the needs of advanced computing.
This evolution ensures that data centers keep pace with technological progress, and reflects the trend toward moving more computing processes closer to the locations where data is generated and utilized — the edge.
Edge deployments are becoming increasingly important as they position computing resources closer to data sources and end users. This proximity helps minimize delays and optimize resource utilization, which is crucial for supporting the development of AI. However, the acceleration of AI adoption brings with it the challenge of effectively managing distributed edge sites.
In environments characterized by high-density edge deployments, substantial power and data storage are concentrated within limited physical spaces. As sustainability remains a priority for both consumers and businesses, concerns about power consumption and the physical constraints of these compact deployment environments are increasing.
To combat these challenges, IT leaders are implementing energy-efficient cooling and power systems that are designed to be high-density and scalable. These systems are intended to integrate seamlessly with existing infrastructure, thereby enhancing overall performance while addressing the sustainability concerns associated with AI data centers and edge deployments.
AI-ready data centers require tightly coordinated cooling, power, and management systems to support high-density AI workloads. Schneider Electric brings these capabilities together through integrated liquid cooling, smart power distribution, and DCIM software, enabling organizations to build infrastructure that supports advanced AI workloads, as outlined below.
1. Liquid cooling solutions
Through its acquisition of Motivair, Schneider Electric offers liquid cooling solutions and hybrid systems for compact spaces. The portfolio includes in-rack coolant distribution units and ChilledDoor rear door heat exchangers, which are well-suited for edge AI environments. These systems efficiently manage GPU-intensive thermal loads for machine learning and AI training while being quiet and space-efficient.
2. Smart power distribution
Power management is crucial in today’s data centers, especially for AI applications. Schneider Electric’s smart rack power distribution units (rPDUs) ensure efficient energy delivery to AI nodes, enhancing performance and reliability. Equipped with real-time monitoring, these rPDUs enable precise load balancing and energy tracking.
3. Intelligent infrastructure management
Schneider Electric’s EcoStruxure IT software platform offers continuous monitoring and lifecycle visibility from “grid to chip and chip to chiller.” By unifying digital oversight of power, cooling, and compute resources, it enables proactive resource management. This improves efficiency, reduces downtime, and enhances operational reliability throughout the data center lifecycle.
Together, these solutions create an end-to-end infrastructure ecosystem that sets a benchmark for scalable, sustainable and resilient AI operations across both centralized and edge facilities.
Looking ahead, Schneider Electric is working with industry partners to help organizations build the infrastructure for AI operations. For example, Schneider Electric has integrated ETAP’s advanced Electrical Digital Twin technology with NVIDIA Omniverse to advance the “grid to chip” approach for AI and high-performance computing (HPC) environments. This integration enables real-time simulations and precise modeling of electrical systems.
As computing architectures evolve — with AI training concentrated in core data centers and inference occurring across mixed environments — Schneider Electric and NVIDIA are developing an 800 VDC sidecar designed to power racks of up to 1.2 MW, supporting next-generation NVIDIA GPUs and future iterations of NVIDIA’s accelerated computing infrastructure. These innovations are helping organizations deliver improved performance per watt while reducing their environmental footprint.
Sustainability also remains central to Schneider Electric’s mission. Through the Schneider Sustainability Impact Program, the company works to improve efficiency across the entire data center lifecycle by integrating renewable energy, optimizing cooling performance, and minimizing waste.
By combining cutting-edge engineering with a commitment to responsible innovation, Schneider Electric is helping IT leaders build data centers that meet the performance needs of AI while aligning with corporate sustainability goals.
As AI technology evolves, organizations need infrastructure that can keep pace with its performance and sustainability demands. Schneider Electric’s integrated liquid cooling, power distribution, and DCIM solutions empower IT leaders to unlock dense, reliable, and efficient edge AI operations.
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