Foxconn and Schneider Electric Announce AI Partnership

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Young Li, Chairman of Foxconn, says combining Foxconn's strengths with Schneider Electric's, both companies will provide customers with faster and smarter AI technology
The companies have announced a strategic partnership to co-develop data centres for hyperscale AI infrastructure

A partnership between Hon Hai Technology Group (Foxconn) and Schneider Electric could reshape how operators acquire and deploy AI data centre hardware. The deal targets production of integrated infrastructure systems from later this year.

Foxconn brings manufacturing scale and AI rack assembly expertise to the arrangement. Schneider Electric contributes power distribution, cooling technology and energy management platforms. The combined output aims to streamline hardware procurement for operators building AI facilities across different territories.

Young Liu, Chairman of Foxconn, describes the commercial rationale. "At the pace AI is evolving, the industry requires a new model for how infrastructure is designed, built and delivered," he says.

"By combining Foxconn's strength in AI systems and global manufacturing with Schneider Electric's deep expertise in power and energy, we are creating a path for customers to deploy AI capacity at scale – faster, smarter and more sustainably."

L-R: Young Liu, Chairman of Foxconn and Olivier Blum, CEO of Schneider Electric announce strategic collaboration between their respective companies to accelerate next-generation AI data centres (Credit: Schneider Electric)

Modular frameworks for expansion

The partnership centres on reference architectures and pre-engineered power and cooling modules. Both companies will develop standardised blueprints designed for hyperscale deployments, reducing the need for custom engineering on each new site.

Operators procuring capacity may benefit from repeatable design patterns. Standardisation targets consistency across multiple builds. The strategy aligns with demand from organisations expanding compute infrastructure at speed.

Modular skids combine cooling and power systems in factory-assembled units. These components arrive ready for installation, accelerating site commissioning compared to traditional field construction methods.

Olivier Blum, CEO of Schneider Electric (Credit: Schneider Electric)

Energy management as growth enabler

Olivier Blum, CEO of Schneider Electric, positions energy technology as a constraint on AI infrastructure expansion. "AI demand continues to accelerate, and as compute scales to keep pace, the energy behind it becomes a fundamental enabler," he says. "If we want to scale AI responsibly, these systems must be connected. This is where energy intelligence becomes essential."

"At Schneider Electric, we are advancing energy tech to build the most efficient and sustainable AI factories by bringing integrated power, cooling and digital capabilities into AI data centres.

"Working with Foxconn, we are helping customers build capacity with real speed, resilience and efficiency, as energy technology partners to an industry that is firmly entering the era of intelligence."

The commercial opportunity stems from operators facing infrastructure bottlenecks. Compute demand outpaces traditional procurement and construction cycles.

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Faster procurement and deployment

Olivier identifies standardisation as a sales advantage. "A key focus of this collaboration is standardisation," he says. "Together, we are developing reference architectures for AI data centre modules that help reduce complexity, shorten deployment timelines and improve energy performance from the start."

Shorter timelines could translate to faster revenue generation for operators. Facilities that commission earlier can capture market demand sooner.

The companies plan to explore closed-loop energy optimisation in future phases, which monitors power consumption and adjusts cooling output automatically. High-volume manufacturing combined with industrial energy controls may create economies of scale for operators expanding into new geographic markets.

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