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Infrastructure Will Shape Future AI Leadership-Schneider Electric

LEADERSHIP News by LEADERSHIP News
6 months ago
in Business
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Schneider Electric has stated that the next era of global artificial intelligence (AI) leadership will be defined by the quality of digital infrastructure supporting high-intensity computing, rather than just by more innovative models or larger datasets.

The company noted in a statement yesterday that as AI adoption accelerates worldwide, organisations that invest in modern, flexible, and resilient data centre infrastructure will gain the most decisive competitive advantage.

Country President of Schneider Electric West Africa, Ajibola Akindele, said that data centre capacity and efficiency have become central to national and corporate competitiveness. “AI is transforming the way businesses operate, and it is pushing data centres to deliver more capacity with greater efficiency. For Nigeria to capture the full value of AI, we must invest in infrastructure that is modern, flexible, and resilient,” he said. He added that Schneider Electric is committed to supporting Nigerian organisations with solutions that enable them to scale confidently and compete globally.

According to the company, decisions in energy efficiency, thermal management and modular expansion are now determining which organisations can innovate faster. Power and cooling—previously treated as routine operational costs—are increasingly seen as strategic factors influencing AI workload performance, deployment speed and sustainability outcomes.

The company noted that high-performance AI racks are pushing densities beyond traditional limits, with some data centres expected to reach more than 140 kW per rack by late 2025.

 

“To manage these demands, operators are turning to liquid cooling technologies that support higher densities, reduce energy consumption and improve system efficiency. Such systems, Schneider Electric said, require advanced controls and specialised expertise,” the company said.

In Nigeria, where power supply and energy costs remain significant challenges, the company emphasised that precision thermal management can reduce operating costs, enhance uptime, and support growth in the digital economy.

Reliable and scalable power infrastructure is also becoming essential for AI adoption. Schneider Electric stated that Nigerian operators must combine efficient design with support for grid stability, renewable energy use, and more intelligent power management to reduce diesel dependence and advance national sustainability goals.

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The company pointed to its global collaboration with NVIDIA, through which both firms are developing AI-optimised data-centre reference architectures supporting up to 142 kW per rack with integrated liquid cooling.

Schneider Electric also highlighted the growing importance of modular and prefabricated data centre designs, especially for countries like Nigeria that require rapid, cost-efficient deployment. Such architectures can reduce build time from up to 24 months to as little as seven months.

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