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Schneider Targets Nigeria’s AI Data Boom

Schneider Electric has intensified its push for Nigerian data centres to adopt advanced liquid cooling systems, citing the rapid rise of Artificial Intelligence (AI) and high-performance computing as a turning point for the country’s digital infrastructure.

The company says traditional air-cooling systems are increasingly unable to manage the extreme heat generated by high-density graphics processing units (GPUs) used in AI workloads. Liquid cooling, by contrast, is up to 3,000 times more efficient at removing heat at the chip level and can cut total data centre energy consumption by between 30 and 60 per cent.

As Nigerian firms integrate AI tools into their operations, rack densities are climbing sharply. Schneider Electric argues that liquid cooling enables operators to support so-called “AI factories” without embarking on costly physical expansions. The systems are also more compact, allowing brownfield retrofits that increase computing capacity within existing facilities.

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Water sustainability is another key driver. Many modern liquid cooling systems use closed-loop designs that significantly reduce water consumption compared to traditional evaporative cooling methods—an important consideration in regions facing water stress.

Following its acquisition of Motivair, the company has introduced several specialised technologies into the market. These include Coolant Distribution Units (CDUs) capable of scaling from 100 kilowatts to 2.5 megawatts, rear door heat exchangers that capture heat before it enters server rooms, and direct-to-chip cooling solutions that channel coolant straight to processors for maximum efficiency. Through its EcoStruxure platform, operators can also deploy digital twin simulations to test performance before installation.

Nigeria’s data centre market is projected to expand sixfold by 2030. Ajibola Akindele, West Africa Country President at Schneider Electric, said the shift is essential for Nigeria to evolve from merely storing data to generating intelligence. Industry stakeholders believe widespread adoption could lower operating costs, improve uptime, and position Nigeria more competitively within the global digital economy.

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