Foxconn, Schneider Electric team up to build the AI factory blueprint
RUEIL-MALMAISON, FRANCE AND TAIPEI, TAIWAN — Schneider Electric and Foxconn (Hon Hai Technology Group) have launched a strategic collaboration to co-develop integrated AI data center blueprints, combining Foxconn’s compute manufacturing scale with Schneider Electric’s power, cooling, and energy management systems.
According to a report from CXO Today, the partners will develop modular power and cooling skids, closed-loop energy optimization, and standardized design frameworks — with integrated production beginning later this year. No financial terms were disclosed.
Schneider Electric, a Paris-headquartered global energy management and automation company, and Foxconn, the world’s largest electronics contract manufacturer, collectively supply data center and AI infrastructure operators across more than 100 countries.
Foxconn’s manufacturing muscle pairs with Schneider’s energy stack
Foxconn will contribute advanced compute platforms, AI rack integration, and global manufacturing scale — capabilities refined through years of supplying hyperscalers with AI-optimized server infrastructure.
Schneider Electric layers power systems, cooling infrastructure, and digital energy management — determining whether an AI factory meets the efficiency demands of hyperscale AI workloads.
Together, the two companies are replacing the custom-engineered patchwork of compute, power, and cooling integration with repeatable, pre-validated AI data center blueprints.
“We are creating a path for customers to deploy AI capacity at scale — faster, smarter, and more sustainably,” said Young Liu, Chairman of Foxconn.
Energy intelligence anchors the AI factory infrastructure stack
The reference architectures will integrate Foxconn’s compute rack solutions with Schneider Electric’s power distribution, cooling, and energy management — enabling customers to deploy AI data center capacity as a single, preconfigured system.
The collaboration will explore closed-loop energy optimization — dynamically adjusting power and cooling in response to real-time AI workload demand.
For hyperscalers and enterprise AI operators, a pre-engineered AI factory blueprint from two Tier-1 infrastructure suppliers addresses the core bottleneck: the months-long integration cycle between compute, power, and cooling.
“If we want to scale AI responsibly, these systems must be connected. This is where energy intelligence becomes essential,” said Olivier Blum, CEO of Schneider Electric.
AI infrastructure buildout has become one of the largest capital allocation cycles in enterprise technology, with global data center power demand projected to double by the end of the decade.
Schneider Electric competes against Eaton, Vertiv, and ABB in data center power and cooling; Foxconn competes with Dell, HPE, and Super Micro for AI server and rack integration contracts with hyperscalers.
A co-developed AI factory blueprint positions both companies as a single-vendor, end-to-end infrastructure solution — consolidating design decisions that hyperscalers and enterprise AI buyers currently negotiate across a fragmented supplier base.
