NVIDIA and Schneider Electric have revealed that they will be working together to enhance data center infrastructure and pave the way for revolutionary developments in digital twin and edge artificial intelligence (AI). The goal of this partnership is to establish new industry standards for AI deployment and operation inside data center ecosystems by releasing a joint AI data center reference design to the public.
With artificial intelligence (AI) applications spreading across numerous sectors and requiring ever-increasing amounts of computer power, the two’s research might proof to be a crucial step in meeting the rising needs for greater data processing capabilities. Given the exponential rise in AI resource requirements, which has led to major changes and complications in data center architecture and management, the partnership is especially appropriate.
According to NVIDIA and Schneider Electric, it is now urgently necessary for data center operators to design and oversee facilities that are both scalable and energy-efficient, in addition to meeting the ever-increasing needs for energy stability.
“We’re unlocking the future of AI for organizations,” said Pankaj Sharma, EVP, Secure Power Division & Data Center Business, Schneider Electric. “By combining our expertise in data center solutions with NVIDIA’s leadership in AI technologies, we’re helping organizations to overcome data center infrastructure limitations and unlock the full potential of AI. Our collaboration with NVIDIA paves the way for a more efficient, sustainable, and transformative future, powered by AI.”
Liquid Cooling Systems, High-Power Distribution
Schneider Electric will debut state-of-the-art data center reference designs in the first phase of this partnership, specifically designed for NVIDIA accelerated computing clusters and built for data processing, engineering simulation, electronic design automation, computer-aided drug design, and generative artificial intelligence. A specific emphasis will be on enabling liquid cooling systems, high-power distribution, and controls meant to make commissioning easy and operations dependable for the extreme-density cluster.
By working together, Schneider Electric hopes to provide data center operators and owners the instruments and resources they need to smoothly incorporate cutting-edge AI technologies into their systems, improving deployment effectiveness and guaranteeing dependable life-cycle operation.
The reference designs are aimed at providing a strong foundation for adopting NVIDIA’s accelerated computing platform in data centers, while improving performance, scalability, and overall sustainability. This would help address the evolving needs of AI workloads.
These reference designs may be used by engineers, partners, and data center executives for new data center constructions that are completely optimized for a liquid-cooled AI cluster as well as for existing data center rooms that need to support new high-density AI server deployments.
“Through our collaboration with Schneider Electric, we’re providing AI data center reference designs using next-generation NVIDIA accelerated computing technologies,” said Ian Buck, VP of Hyperscale and HPC at NVIDIA. “This provides organizations with the necessary infrastructure to tap into the potential of AI, driving innovation and digital transformation across industries.”
Future Roadmap
To provide a uniform environment for virtual simulation and collaboration, Schneider Electric subsidiary AVEVA will link its digital twin platform to NVIDIA Omniverse in addition to the data center reference designs. Through seamless cooperation between engineers, designers, and stakeholders, this integration is aimed at speeding up the design and implementation of complex systems and lowering costs and time-to-market.
“NVIDIA technologies enhance AVEVA’s capabilities in creating a realistic and immersive collaboration experience underpinned by the rich data and capabilities of the AVEVA intelligent digital twin,” said Caspar Herzberg, Chief Executive Officer at AVEVA. “Together, we are creating a fully simulated industrial virtual reality where you can simulate processes, model outcomes, and effect change in reality. This merging of digital intelligence and real-world outcomes has the potential to transform how industries can operate more safely, more efficiently and more sustainably.”
