2 Sources
[1]
Schneider Electric and Foxconn partner on AI data-centre infrastructure
The two companies will co-develop reference designs for next-generation AI facilities, with production expected to begin later this year. Schneider Electric has announced a strategic collaboration with Hon Hai Technology Group, better known as Foxconn, to design and scale the next generation of AI data centres. The deal, announced on 15 June, pairs the French energy-management group with the world's largest contract electronics manufacturer. The division of labour follows the two companies' respective strengths. Foxconn brings compute platforms, AI rack integration, and manufacturing reach; Schneider brings power systems, cooling, and energy management. The aim, as the companies describe it, is to offer integrated, ready-to-deploy infrastructure that customers can stand up faster and run more predictably across regions. In practice, that means co-developing reference architectures for AI data centres and working on closed-loop energy optimisation, modular power and cooling skids, and standardised design frameworks. The skid approach, prefabricated blocks of power and cooling that ship as units, is the part aimed squarely at speed: it lets an operator assemble a facility from repeatable components rather than engineering each site from scratch. Production is expected to begin later this year, the companies said. The collaboration sits in the part of the AI boom that gets less attention than the chips: the buildings, the power, and the heat. Training and serving large models needs dense racks drawing more electricity than conventional server halls were built for, and the constraint is increasingly the physical plant rather than the silicon inside it. A power-and-cooling specialist tying up with a manufacturer that already integrates AI racks is a bet on that being where the next squeeze lands. Both companies come to the deal from established positions. Schneider Electric, headquartered near Paris, is one of the largest suppliers of data-centre power and cooling equipment, a business that has grown with the AI build-out. Foxconn, the assembler of much of the world's consumer electronics, has been pushing into server and AI-rack manufacturing as that work has become a larger share of its order book. The partnership knits together two parts of the supply chain that customers have until now had to integrate themselves. The closed-loop energy work named in the announcement points at the other constraint operators face, which is heat. As rack densities climb, air cooling gives way to liquid systems that capture and recirculate heat rather than simply venting it, and the engineering of those loops is one of the harder problems in a modern facility. Standardising it into shippable modules is the efficiency the two companies are claiming, and the part most likely to appeal to operators racing to bring capacity online before demand outstrips it. The companies did not disclose financial terms, nor did they name launch customers or specify which regions the first deployments will target. What they have committed to publicly is the joint engineering work and a timeline that starts this year.
[2]
Schneider Electric and Hon Hai Technology Group (Foxconn) announce strategic collaboration to accelerate next-generation AI data centers
Schneider Electric, a global energy technology leader, today announced a strategic collaboration with Hon Hai Technology Group (Foxconn), the world's largest electronics manufacturer, to help define and scale the next generation of AI data centers. As AI adoption surges, the demands on digital infrastructure are being fundamentally reshaped. This collaboration brings together Foxconn's unmatched expertise in advanced compute platforms, AI rack integration, and global manufacturing with Schneider Electric's leadership in power systems, cooling, and energy management. Together, the companies aim to deliver integrated, ready-to-deploy solutions that enable customers to build and operate AI infrastructure with greater speed, efficiency, and predictability across regions. Production will begin later this year. "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." "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 centers. 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." Through this collaboration, Foxconn and Schneider Electric will co-develop next-generation reference architectures for AI data centers. The partnership will also explore innovations in closed-loop energy optimization, modular power and cooling skids, and standardized design frameworks, creating repeatable, high-performance blueprints for AI factories worldwide. By aligning manufacturing excellence with energy intelligence, the two companies are setting the foundation for a new class of AI infrastructure that is scalable by design, efficient by default, and ready to meet the accelerating demands of the AI era.
Share
Copy Link
Schneider Electric has announced a strategic collaboration with Hon Hai Technology Group (Foxconn) to design and scale the next generation of AI data centers. The partnership combines Foxconn's expertise in AI rack integration and manufacturing with Schneider's power and cooling leadership to deliver integrated, ready-to-deploy infrastructure. Production of prefabricated modular systems is expected to begin later this year.
Schneider Electric has announced a strategic collaboration with Hon Hai Technology Group, better known as Foxconn, to design and scale next-generation AI data centers
1
. The deal, announced on 15 June, brings together the French energy-management leader with the world's largest electronics manufacturer to tackle one of the AI industry's most pressing challenges: the physical infrastructure needed to support increasingly powerful AI workloads2
.The partnership addresses a critical bottleneck that gets less attention than chips but matters just as much. Training and serving large models requires dense racks drawing more electricity than conventional server halls were built for, and the constraint is increasingly the physical plant rather than the silicon inside it
1
. As AI adoption surges, the demands on digital infrastructure are being fundamentally reshaped, requiring a new model for how AI data-centre infrastructure is designed, built, and delivered2
.
Source: Market Screener
The division of labor follows each company's respective strengths. Foxconn brings compute platforms, AI rack integration, and manufacturing reach, while Schneider Electric contributes power systems, cooling, and energy management technologies
1
. The aim is to offer integrated, ready-to-deploy solutions that customers can stand up faster and run more predictably across regions2
.In practice, the companies will co-develop reference architectures for AI data centers and work on closed-loop energy optimization, modular power and cooling systems, and standardized design frameworks
1
. The modular approach involves prefabricated power blocks that ship as units, letting operators assemble facilities from repeatable components rather than engineering each site from scratch. Production is expected to begin later this year, the companies said1
.The closed-loop energy work points at another constraint operators face: heat management. As high rack densities climb, air cooling gives way to liquid systems that capture and recirculate heat rather than simply venting it, and the engineering of those loops is one of the harder problems in a modern facility
1
. Standardizing these power and cooling solutions into shippable modules is the efficiency the two companies are claiming, and the part most likely to appeal to operators racing to bring capacity online before demand outstrips it1
."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"
2
.Related Stories
Both companies come to the deal from established positions. Schneider Electric, headquartered near Paris, is one of the largest suppliers of data-center power and cooling equipment, a business that has grown with the AI build-out. Foxconn has been pushing into server and AI-rack manufacturing as that work has become a larger share of its order book
1
. The partnership knits together two parts of the supply chain that customers have until now had to integrate themselves.Young Liu, Chairman of Foxconn, emphasized the need for speed: "At the pace AI is evolving, the industry requires a new model for how infrastructure is designed, built, and delivered. 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"
2
.The companies did not disclose financial terms, nor did they name launch customers or specify which regions the first deployments will target. What they have committed to publicly is the joint engineering work and a timeline that starts this year, setting the foundation for a new class of AI infrastructure that is scalable by design, efficient by default, and ready to meet the accelerating demands of the AI era
1
2
. Watch for how this partnership influences energy efficiency standards across the industry and whether other manufacturers follow suit with similar integrated approaches.🟡 alleys.Summarized by
Navi
05 Dec 2024•Technology

19 Nov 2025•Business and Economy

04 Jun 2026•Technology

1
Policy and Regulation

2
Business and Economy

3
Technology
