AI Hub: SK Telecom Plans 15GW Data Centres in South Korea

· Source: AI Magazine · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure · Depth: Novice, short

Summary

SK Telecom announced plans to construct a 15GW AI data centre footprint in South Korea, aiming to establish the nation as a primary digital infrastructure hub in Asia. This initiative proactively builds domestic computing capacity to support increasing AI model training and inference requirements, aligning with the South Korean Government's AI G3 strategy to become a top three global AI power. The company estimates a standard 1GW AI data centre costs KRW70tn (US\$45.6bn). Global data centre demand is projected to increase 19-22% annually, with a forecasted 15GW shortfall in the US by 2030, driving international infrastructure investment. South Korea offers advantages like strong AI component manufacturing, a stable energy grid, and established gigawatt-class infrastructure capabilities. Initial phases include a >2GW cluster in Ulsan and a 1GW development in Jeolla, with facilities activating from 2029. SK Telecom will lead the project, coordinating with SK Group affiliates.

Key takeaway

For AI Architects or Investors evaluating future large-scale AI infrastructure, South Korea presents a compelling option. SK Telecom's 15GW data centre expansion, backed by government strategy and SK Group's full-stack capabilities, offers a stable, high-capacity hub. You should consider South Korea for strategic AI compute deployments, especially given its strong domestic supply chain for high-bandwidth memory and reliable energy grid. This initiative mitigates global capacity shortfalls.

Key insights

SK Telecom's 15GW AI data centre plan positions South Korea as a critical global AI infrastructure hub, addressing anticipated supply shortfalls.

Principles

Method

SK Telecom will lead design, construction, and operation of the 15GW AI data centre project, coordinating full-stack resources from SK Group affiliates for semiconductor, energy, and operational expertise.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Executive, Director of AI/ML, AI Architect, Investor

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI Magazine.