Schneider Electric is going to collaborate with Nvidia in the design of data centers, with the aim of optimizing its infrastructure to work with technologies such as AI and digital twins. These data center reference designs for AI are intended to redefine the benchmarks for the implementation and operation of AI in data center ecosystems.
With this step, Schneider Electric aims to offer data center owners and operators tools and resources to integrate new and developing AI solutions into their infrastructure, with more efficiency in their implementation and greater guarantee of reliable life cycle operation.
In the first phase of this collaboration, Schneider Electric will offer reference designs of this type of data centers adapted to Nvidia accelerated computing clusters. They will be built for data processing, engineering simulation, electronic design automation, computer-aided drug design, and generative AI.
Both companies will focus on high-power distribution, liquid cooling systems and controls designed to ensure easy commissioning and reliable operation of high-density clusters.
The reference designs will provide a suitable framework for deploying Nvidia’s accelerated computing platform in data centers, while optimizing performance, scalability and sustainability. These designs can be used for existing data center rooms that need to accommodate new high-density AI server systems, and for new data center installations optimized for a liquid-cooled AI cluster.
In addition to data center reference designs, Aveva, a subsidiary of Schneider Electric, will integrate its digital twin platform into Nvidia Omniversewhich will provide a unified environment for virtual simulation and collaboration.
With this integration, designers, engineers and stakeholders will be able to collaborate seamlessly, which will accelerate the design and implementation of complex systems, and reduce costs and time to market.
In addition to these designs, Schneider Electric plans that its collaboration with Nvidia will extend to the analysis of new use cases and applications in different sectors.