Schneider Electric and Foxconn to Partner on AI Data Centres

Schneider Electric and Hon Hai Technology Group (Foxconn) have formed a strategic partnership to develop and scale next-generation AI data centre infrastructure. Production of the joint hardware solutions is scheduled to begin later this year.
The collaboration merges Foxconnâs global manufacturing capacity and advanced AI rack integration capabilities with Schneider Electricâs power, cooling and energy management systems. The companies plan to produce integrated hardware to help operators build AI facilities across multiple geographic regions with greater predictability.
âAt the pace AI is evolving, the industry requires a new model for how infrastructure is designed, built and delivered,â says Young Liu, Chairman of Foxconn. âBy combining Foxconnâs strength in AI systems and global manufacturing with Schneider Electricâs deep expertise in power and energy, we are creating a path for customers to deploy AI capacity at scale â faster, smarter and more sustainably.â
Standardising AI infrastructure
The two firms will co-develop reference architectures for AI facilities alongside modular power and cooling skids. This engineering approach targets the creation of repeatable design frameworks for hyperscale operators deploying substantial compute capacity. Standardised blueprints allow data centre owners to reduce custom engineering requirements for new sites.
âAI demand continues to accelerate, and as compute scales to keep pace, the energy behind it becomes a fundamental enabler,â says Olivier Blum, CEO of Schneider Electric. âIf we want to scale AI responsibly, these systems must be connected. This is where energy intelligence becomes essential.
âAt 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.
âWorking 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."
Shrinking deployment timelines
As operators face mounting pressure to scale infrastructure rapidly, Olivier highlights that achieving this growth requires closer alignment between complex compute platforms and the underlying energy networks that keep them online.
âA key focus of this collaboration is standardisation,â he says. âTogether, we are developing reference architectures for AI data centre modules that help reduce complexity, shorten deployment timelines, and improve energy performance from the start.â
Beyond standardisation, the partnership will explore innovations in closed-loop energy optimisation and modular power delivery.
By aligning high-volume manufacturing with industrial energy management, the firms expect to establish physical infrastructure that is scalable by design and ready to handle dense workloads.




