Key Takeaways:
- New AI-ready solutions: Schneider Electric launches advanced data center infrastructure, including the GB200 NVL72 reference design with NVIDIA and the Galaxy VXL UPS, to enhance energy efficiency in AI operations.
- Strategic partnership with NVIDIA: The new reference design supports liquid-cooled AI clusters, optimizing infrastructure for high-density AI workloads.
- End-to-end sustainability strategy: Schneider integrates renewable energy, high-density infrastructure, and AI-powered monitoring to drive efficiency and decarbonization.
Schneider Electric Tackles AI’s Energy and Sustainability Challenges
Schneider Electric has unveiled new solutions to address the growing energy demand of AI-driven infrastructure. The latest innovations include a new AI-ready data center reference design co-developed with NVIDIA and the industry’s most compact, high-density UPS, aimed at optimizing power consumption and sustainability for AI workloads.
NVIDIA Partnership Delivers High-Efficiency AI Data Centers
Schneider Electric’s GB200 NVL72 reference design, developed with NVIDIA, is tailored for liquid-cooled, high-density AI clusters of up to 132 kW per rack. Designed to support NVIDIA’s Blackwell chips, this architecture ensures efficient deployment and addresses the complexities of liquid cooling at scale.
“Building the future of accelerated computing and AI requires speed and a bedrock foundation,” said Jensen Huang, founder and CEO of NVIDIA. “Our work with Schneider Electric enables customers to design the world’s technological advances on stable and resilient infrastructure.”
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Industry’s Most Compact AI-Ready Power System
Schneider Electric also introduced the Galaxy VXL UPS, the most compact, high-density power system for AI data centers. Key features include:
- 52% space savings over industry averages.
- 1.25 MW scalable capacity in a 1.2 m² footprint, with potential to scale up to 5 MW with four units.
- Optimized for high-density AI workloads, reducing physical footprint while improving power efficiency.
“The energy and environmental impact of AI is growing at an unprecedented pace,” said Pankaj Sharma, EVP, Data Centers & Networks at Schneider Electric. “It’s paramount we bend the energy curve downward by finding new ways to decarbonize data centers.”
Advancing AI-Era Energy Strategies
Schneider Electric’s AI-ready solutions focus on three pillars:
- Renewable energy integration – helping companies secure diverse power sources like wind, solar, and hydrogen.
- High-density infrastructure – deploying AI-driven power management, cooling, and monitoring tools.
- Sustainability consulting – assisting companies in emissions reduction and energy optimization.
AI as a Sustainability Driver
Schneider Electric envisions AI not just as a high-energy consumer but as a tool for broad decarbonization across industries. The company advocates for energy intelligence, leveraging AI to optimize infrastructure and enhance efficiency in data centers, transportation, and manufacturing.
Sean Graham, Research Director at IDC, emphasized the potential impact: “By 2027, data center electricity consumption is projected to account for 2.5% of global demand. The real sustainability promise lies in leveraging AI to decarbonize entire value chains across industries.”
Schneider Electric’s new solutions reinforce its commitment to making AI infrastructure more efficient, scalable, and sustainable, ensuring AI-driven progress does not come at the expense of energy sustainability.
Related Article: Schneider Electric Reports Highlight AI’s Dual Impact on Energy Use and Sustainability
