New habitats for AI
Schneider Electric is bundling its AI innovations into a holistic, end-to-end strategy with three core areas: sustainable energy concepts for the AI age, state-of-the-art infrastructure solutions and comprehensive sustainability consulting.
14 Mar 2025Share
Schneider Electric, the leader in digital transformation of energy management and automation, and recently recognized again by Corporate Knights as the world's most sustainable company, is driving the development of future-oriented solutions for AI data centers. The newly introduced end-to-end solutions primarily address the increasing energy demands and growing sustainability requirements of modern AI systems.
The new reference design for data centers, developed in collaboration with NVIDIA, is set to be a milestone in this regard. The innovative architecture enables the operation of liquid-cooled AI clusters with a power output of up to 132 kilowatts per rack. The design, which has been optimized for NVIDIA's new GB200 NVL72 platform and Blackwell chips, simplifies the implementation of scalable liquid cooling systems through vendor-verified architectures.
With the new Galaxy VXL, Schneider Electric has also introduced one of the most compact high-performance UPS systems in the industry. Designed specifically for AI workloads and data centers, the uninterruptible power supply offers exceptional space efficiency: it requires about 52 percent less floor space than comparable systems and achieves an impressive power density of 1,042 kilowatts per square meter. The scalable, modular three-phase UPS system with a power output of 1.25 megawatts is designed to provide a more efficient power supply in a smaller, high-density footprint.
“The energy demand and environmental impact of AI is growing at an unprecedented rate. Our central task is to correct the energy curve downwards through innovative decarbonization concepts for data centers and digital infrastructures,” says Pankaj Sharma, Executive Vice President, Data Centers & Networks at Schneider Electric. ”We are setting new standards for an environmentally friendly AI future – from the power grid to cooling and the chip. This requires a holistic strategic approach.”
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