Schneider Electric and Foxconn Collaborate on AI Data Center Infrastructure
2026-06-21 13:47
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en.Wedoany.com Reported - Schneider Electric and Hon Hai Technology Group (Foxconn) announced on June 18, 2026, a strategic partnership focused on building next-generation artificial intelligence data centers. This collaboration aims to integrate Foxconn's strengths in electronics manufacturing and AI computing platforms with Schneider Electric's solutions in power systems, cooling technology, and energy management to support the deployment of large-scale AI infrastructure.

As AI technology rapidly permeates various industries, data center operators and digital service providers face new challenges in power supply, energy efficiency improvement, and infrastructure construction speed. In recent years, the rise of generative AI models, the growth of large-scale training tasks, and the proliferation of AI applications in commercial and industrial sectors have driven a sharp increase in demand for AI infrastructure, prompting companies and suppliers to explore more integrated data center construction pathways.

Under the partnership plan, Foxconn will provide its core technologies in advanced computing platforms, AI server rack integration, and global manufacturing capabilities. Schneider Electric will contribute its power distribution technology, cooling systems, energy management software, and digital solutions aimed at improving data center operational efficiency. The two parties will also jointly develop a new generation of reference architecture for AI data centers—a standard design that can serve as a construction guide for different locations, designed to accelerate implementation speed and improve consistency.

Foxconn Chairman Young Liu noted that the accelerated development of AI requires new approaches to designing and delivering digital infrastructure. He believes that Foxconn's expertise in AI systems and global manufacturing, combined with Schneider Electric's accumulation in energy and power, can help customers achieve large-scale deployment of AI capabilities with greater efficiency and sustainability.

Ellya Cen, Vice President of Schneider Electric's Indonesia Data Center Business, stated that energy demand has become one of the core foundational factors for AI development. She emphasized that improvements in computing power must be matched with integrable energy systems to ensure AI operations are both efficient and sustainable. She added that Schneider Electric is continuously developing energy technologies to support the construction of "AI factories" designed for AI workloads, and that the synergy between power systems, cooling systems, and digital management is key to improving the operational efficiency and resilience of modern data centers.

Additionally, Schneider Electric and Foxconn will explore innovations in closed-loop energy optimisation systems, which continuously monitor and manage energy consumption to improve operational efficiency. The two parties plan to develop modular systems for power distribution and cooling, as well as standardized design frameworks that can be replicated across different regions. The modular approach is becoming increasingly common in modern data center construction due to its ability to accelerate implementation and facilitate capacity expansion as demand grows. For the AI industry, this model is particularly critical, as computing power requirements can surge sharply in a short period.

The two companies stated that the collaboration aims to begin production by the end of 2026 and is committed to building a foundation for globally replicable AI factory development, focusing on scalability, energy efficiency, and the ability to respond to growing AI computing demands. By integrating Foxconn's global manufacturing network with Schneider Electric's energy management technology, they hope to provide a new infrastructure model that supports AI expansion across regions, helping customers build AI data center capacity with faster deployment speed, higher energy efficiency, and greater operational resilience.

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