Schneider Electric and Hon Hai Technology Group, known as Foxconn, announced a strategic collaboration on June 15, 2026 [1], to develop AI data-center infrastructure.
The partnership aims to solve the massive energy and hardware requirements of generative AI. As computational demands surge, the industry requires standardized, scalable designs to prevent deployment bottlenecks.
Based in Rueil-Malmaison, France, and Taipei, Taiwan, the two companies will co-develop and scale next-generation infrastructure [1]. This effort includes the creation of reference designs, blueprints that allow for faster, more efficient building of data centers [2]. These designs are intended to define and accelerate the deployment of facilities capable of handling generative AI workloads [3].
Schneider Electric provides energy management and technology expertise, while Foxconn brings large-scale electronics manufacturing capabilities [1]. By combining these strengths, the companies intend to streamline how AI-focused centers are built and operated [3].
The companies expect to move into the production of these reference designs later in 2026 [4]. This timeline suggests a push to capitalize on the immediate demand for AI capacity as enterprises integrate large language models into their operations.
The collaboration focuses on the physical and electrical layers of the data center. This includes the power distribution and cooling systems necessary to keep high-density AI chips from overheating, a primary challenge for modern data center operators [3].
“The two companies will co-develop and scale next-generation infrastructure.”
This collaboration signals a shift toward standardization in AI infrastructure. By creating shared reference designs, Schneider Electric and Foxconn are attempting to move AI data centers from bespoke, slow-to-build projects to a modular, industrial-scale model. This could significantly reduce the time it takes for providers to bring new AI capacity online.
