Schneider Electric and Hon Hai Technology Group (Foxconn) are joining forces to develop next-generation AI data centre infrastructure, combining energy management, power and cooling expertise with advanced AI computing platforms to help organisations deploy AI capacity faster, more efficiently and at greater scale.
As AI adoption accelerates worldwide, organisations are facing mounting pressure to scale digital infrastructure while managing energy consumption, operational complexity and sustainability goals. Against this backdrop, Schneider Electric and Hon Hai Technology Group (Foxconn) have announced a strategic collaboration to develop and deploy next-generation AI data centre solutions designed to meet the rapidly evolving demands of AI workloads.
The partnership combines Foxconn’s expertise in AI rack integration, advanced compute platforms and global manufacturing with Schneider Electric’s capabilities in power systems, cooling technologies and energy management. Together, the companies aim to deliver integrated, ready-to-deploy AI infrastructure solutions that enable customers to deploy capacity more quickly and predictably across global markets.
Production is scheduled to begin later this year.
The rapid expansion of AI is transforming the requirements of data centre infrastructure, placing greater emphasis on power availability, cooling performance and operational efficiency. For technology leaders, infrastructure providers and enterprise operators, balancing AI growth with sustainability objectives has become a critical challenge.
“At the pace AI is evolving, the industry requires a new model for how infrastructure is designed, built, and delivered,” said Young Liu, Chairman of Foxconn.
“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.”
The collaboration reflects a broader industry shift toward integrated infrastructure models that can accelerate deployment timelines while improving energy efficiency and operational resilience.
A central focus of the partnership will be the development of next-generation reference architectures for AI data centers. The companies will also explore innovations in:
By integrating energy intelligence into AI infrastructure design, Schneider Electric and Foxconn aim to help operators improve energy performance while supporting increasingly compute-intensive workloads.
The collaboration will investigate modular power and cooling skids designed to simplify deployment, improve scalability and support more standardised AI infrastructure builds.
The partners plan to develop repeatable design blueprints that can help organisations deploy AI capacity more efficiently across regions while reducing implementation complexity and risk.
For sustainability leaders and data centre operators, the partnership underscores the growing importance of energy management as AI adoption scales.
“AI demand continues to accelerate, and as compute scales to keep pace, the energy behind it becomes a fundamental enabler,” said Olivier Blum, CEO of Schneider Electric.
“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.”
By bringing together manufacturing scale and energy management expertise, Schneider Electric and Foxconn aim to create a new generation of AI infrastructure designed to support both performance and sustainability objectives.
The companies say their collaboration will establish scalable, energy-efficient frameworks for AI data centres that can help organisations meet rising demand for AI computing while improving deployment speed, operational resilience and resource efficiency.
As AI infrastructure investment continues to grow, partnerships that combine advanced computing capabilities with energy optimisation are expected to play an increasingly important role in shaping the next generation of sustainable digital infrastructure.
