• The latest announcements reinforce the company’s mission to decarbonize digital infrastructure, while enabling customers to deploy more sustainable, AI-ready data center solutions anywhere and at scale. • The new GB200 NVL72 reference design, co-developed with NVIDIA, provides a proven, validated and highly power-efficient architecture to support NVIDIA’s new Blackwell chip. • Introduces the Galaxy VXL UPS, the industry’s most compact high-density power protection system for AI. , data centers and large-scale electrical workloads.
Rueil-Malmaison, France, December 4, 2024 (GLOBE NEWSWIRE) — Schneider Electricthe leader in digital transformation of energy management and automation, today accelerated its AI-ready end-to-end data center solutions with new announcements that address pressing data center challenges. energy and sustainability driven by the high demand for AI systems.
The first part of the ad is a new data center reference designco-developed with NVIDIA, which will support high-density liquid-cooled AI clusters of up to 132 kW per rack. Optimized for NVIDIA’s GB200 NVL72 and Blackwell chips, the design streamlines planning and deployment with proven and validated architectures, addressing the unique challenges of using liquid cooling at scale.
In addition, Schneider Electric today presented its new Galaxy VXL uninterruptible power supply (UPS), the industry’s most compact high-density UPS designed for AI, data centers and large-scale power workloads. The Galaxy VXL inverter offers 52% space savings compared to the industry average, and with a power density of up to 1042 kW/m², this 1.25 MW scalable modular inverter is designed to deliver more efficient power in a smaller, high-density footprint.
Both innovations are part of Schneider Electric’s AI-ready end-to-end data center solutions, which focus on three key areas, including developing an energy strategy for the AI era; deploy advanced infrastructure; And sustainable development consulting. They seek to benefit data center owners and operators by deploying high-density, energy-efficient infrastructure to support AI workloads in the most sustainable way possible.
“The energy and environmental impact of AI is growing at an unprecedented rate, and it is critical to lower the energy curve by finding new ways to decarbonize data centers and digital infrastructure,” said Pankaj Sharma , executive vice president, data centers and networks at Schneider Electric. “At Schneider Electric, we are committed to pushing boundaries, setting new standards and shaping the future of AI, all while protecting the environment. This requires a strategic approach, from network to chip to cooler and beyond.
Partnership with NVIDIA
Schneider Electric new data center reference design was co-developed with NVIDIA to support liquid-cooled AI clusters, while addressing the unique challenges of deploying liquid cooling in large-scale data center, colocation, and enterprise environments.
Building on the partnership between the two companies, the reference design includes options for liquid-to-liquid coolant delivery units (CDUs) and direct-on-chip liquid cooling, and shares complete mechanical and electrical plans for ensure more energy efficient and sustainable operations. AI data centers of the future.
Developed using Schneider Electric software tools, including Ecodial And EcoStruxure™ Computer Design CFDthe design can be customized to meet specific AI workload requirements, while helping users take advantage of the most sustainable and energy-efficient infrastructure designs for high-density applications.
“Building the future of accelerated computing and AI requires speed and a strong foundation,” said Jensen Huang, founder and CEO of NVIDIA. “Our collaboration with Schneider Electric enables customers to engineer global technological advances onto a stable and resilient infrastructure. Together, we are creating AI data centers purpose-built for accelerated computing, supporting complex architectures essential to delivering digital intelligence to every user. business and industry. »
End-to-end AI data center solutions
Announcements made to Today virtual event reinforce Schneider Electric’s commitments in favor of global, sustainable and end-to-end data ready for AI center solutionshelping customers decarbonize their digital infrastructure around the world. They focus on three key areas, including:
Energy strategy for the AI era: Schneider Electric helps businesses secure renewable energy and optimize on-site power generation from various sources such as wind, solar and hydrogen. It provides services such as site selection and geographic analysis based on customer deployment plans and enables on-site power generation via AlphaStruxurewhich guarantees speed to market, reliability, resilience and sustainability of the chosen energy sources.
Advanced infrastructure solutions: Schneider Electric has developed a comprehensive range of high-density, energy-efficient infrastructure systems for a multitude of AI requirements exceeding 100 kW per rack. This includes network-to-chip and chip-to-cooler data center infrastructure components, AI-powered remote monitoring and energy management software, and digital services for life cycle optimization.
The new from Schneider Electric Galaxy VXL UPS, announced today, is the latest addition to the company’s end-to-end advanced infrastructure portfolio. For the first time, this new UPS offers customers a scalable, modular 1.25 MW solution with 125 kW/3U power modules in a 1.2 m2 footprint, while being capable of supporting up to ‘at 1.25 MW critical load in a single chassis and up to 5 MW with 4 units. in parallel in only 4.8 M2 of space.
Additionally, to address increasing temperatures of high-density workloads, Schneider Electric recently signed an agreement to acquire a majority stake in Motivair Corporation, thereby enhancing its liquid cooling portfolio and strengthening its expertise in direct-on-chip liquid cooling and high-capacity thermal solutions.
Efficiency and sustainability: Schneider Electric’s sustainability consulting business helps clients exceed their decarbonization goals through tailored sustainability strategies, emissions assessments and supplier engagement programs. These global consulting services provide clients with data-driven insights through EcoStruxure Resource Advisorand are supported by 2,400 experts in more than 100 countries.
Bending the AI energy curve
Schneider Electric also advocates for a scientific approach to “bend the curve” of energy consumption. The use of “energy intelligence for sustainable AI” is at the heart of this approach. Schneider Electric believes this can be achieved by integrating data center infrastructure with AI-based applications.
In this way, industries can not only mitigate AI’s energy footprint, but also use AI’s capabilities and monitoring insights as tools for broader decarbonization efforts. Achieving this vision requires a shared commitment to deploy sustainable solutions and harness the potential of AI to increase efficiency across all sectors.
“By 2027, data center power consumption is expected to account for 2.5% of global demand, with the remaining 97.5% spread across sectors such as buildings, manufacturing, transportation and energy” , said Sean Graham, research director, Cloud to Edge Datacenter. Trends, IDC. “As data centers pursue their own net-zero targets amid unprecedented growth, the real promise of sustainability lies in harnessing AI to decarbonize entire value chains across all sectors. As Schneider Electric and NVIDIA have demonstrated, long-term collaboration and innovation are key to improving efficiency. and sustainability.
For more information about Schneider Electric new reference design, co-developed with NVIDIAIt is Galaxy VXL UPS or its End-to-end, AI-ready data center solutionsvisit the website.
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