South Korea Pioneers Underwater Data Centers to Tackle AI Expansion and Cooling Challenges

August 22, 2026
South Korea Pioneers Underwater Data Centers to Tackle AI Expansion and Cooling Challenges
  • Ulsan, South Korea, is advancing underwater data centers to address land, power, and cooling constraints as AI computing expands nationwide, with a pilot off the coastline about 20 meters offshore using seawater cooling.

  • If the pilot succeeds, underwater data centers could serve as a blueprint for expanding coastline-based AI infrastructure across Korea.

  • The initial project budget totals 51.1 billion KRW (about $37 million), with the central government contributing 40 billion KRW and the remainder coming from local sources.

  • A longer-term plan contemplates investing roughly 500 billion KRW (around $360 million) to power up to 100,000 servers, contingent on early testing outcomes.

  • The city is partnering with the Korea Institute of Ocean Science and Technology to design a standardized subsea data center model, targeting a timeline through 2030 and commercialization starting in 2031.

  • SK Telecom joined the initiative in January 2026 to handle GPU-based infrastructure and server operations, while a broader consortium oversees vessel engineering and software management for underwater AI workloads.

  • The initial phase focuses on underwater facilities about 20 meters off Ulsan’s coast, using ocean water cooling to reduce reliance on conventional cooling systems.

  • This project reflects a broader push toward innovative cooling solutions as data center demand grows, with a standard model planned by 2030 and commercial development to begin in 2031.

  • Officials envision a carbon-neutral, replicable underwater computing template that could be deployed at other sites if the pilot proves successful.

  • South Korea faces rising demand for computing capacity from chipmakers, cloud providers, and researchers, and ocean water cooling offers a resource that minimizes or eliminates mechanical refrigeration needs.

Summary based on 1 source


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