Service overview
Cutting Costs and Carbon Emissions
The Galsaman Data Center receives electricity directly from its on-site solar, wind, and hydrogen fuel cell plants via Direct PPA without going through KEPCO's transmission and distribution network. This eliminates transmission losses and dramatically reduces electricity costs, creating an environment optimized for power-intensive generative AI server operations.
Cooling costs, which account for 40% of data center operating expenses, have been significantly reduced using 'LNG cold energy (-162℃).' By recapturing the cold energy wasted during vaporization at a nearby LNG terminal for server cooling, the center implements a power-free eco-friendly cooling system, achieving world-class efficiency with a PUE (Power Usage Effectiveness) of less than 1.1.
Additionally, by directly using 300MW of self-generated renewable energy, it reduces electricity costs by 30% and automatically meets RE100, a critical requirement for participating in the global supply chain.
With infrastructure optimized for generative AI and big data processing, we aim to be a reliable partner for companies leading future technologies.
Key Capabilities & Features
Key Capabilities & Features
-162℃ Ultra-low Temperature LNG Cold Energy Utilization
Zero Carbon Emissions with Eco-friendly Cooling
60% Reduction in Cooling Costs
300MW Direct Supply of Renewable Energy
Independent Microgrid Operation
24/7 Uninterruptible Power Supply (UPS) Grade Power
Deployment of High-Speed Optical Network
Optimization for AI/Big Data Processing
Support for Real-Time Data Transmission
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Common questions
Common questions
How does the LNG cold energy cooling system work?
The Galsa Bay AI Data Center utilizes the -162℃ cryogenic energy generated during the vaporization of LNG (Liquefied Natural Gas) to cool its servers. This method reduces cooling costs by over 60% compared to traditional air cooling, maintains a stable temperature 24/7, and manages heat in an eco-friendly manner to minimize carbon emissions.
Is the power supply stable?
Can RE100 certification be obtained automatically?
How much are electricity savings?
Suitable for AI computations and high-performance computing?
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