South Korean wireless telecom operator SK Telecom has signed a memorandum of understanding with Supermicro and Schneider Electric to develop solutions for AI data centres. The agreement was announced at Mobile World Congress 2026 in Barcelona.
The partnership aims to shorten construction timelines for the data centres and address supply bottlenecks. The companies will combine their expertise in computing servers and infrastructure design.
Ha Min-yong, head of SK Telecom’s AIDC Business Division, said the partnership will support global demand and advance a total solution based on a pre-fabricated modular model.
The collaboration focuses on a pre-fabricated modular model that integrates servers, power systems and cooling infrastructure. The partners say the model allows faster deployment than traditional construction methods.
The modular system integrates AI computing servers with power and cooling infrastructure in pre-manufactured units. These units can be deployed in stages as demand grows.
Andrew Bradner, Senior Vice President at Schneider Electric, said the industry needs faster infrastructure deployment. “The true measure of competitiveness lies in how fast and sustainably organisations deliver high-performance infrastructure,” he said.
Traditional data centre construction installs servers after the building structure is complete. The modular approach allows operators to add infrastructure using a building-block model.
The companies say the model can reduce upfront investment and support scalable expansion. It also helps operators respond to changes in demand.
SK Telecom will provide operational expertise in AI data centres. Supermicro will supply GPU servers designed for AI computing workloads. Schneider Electric will handle the design and construction of mechanical, electrical and plumbing infrastructure.
Cenly Chen, Chief Growth Officer at Supermicro, said the partnership will accelerate deployment. “This new integrated solution will leverage Supermicro’s GPU-optimised servers tailored to customer workloads,” he said.
The companies plan to use the collaboration to support hyperscale demand for AI infrastructure.
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