Kakao reduced cooling power costs at a leased data center in Hanam, Gyeonggi Province, by approximately 23% from a year earlier through operational improvements without replacing or adding equipment. In partnership with LG CNS, Kakao adjusted server-room cooling temperatures and chiller water temperatures using operating data and on-site conditions. The facility remained stable through record heat waves and changes in server usage, while an LG CNS autonomous AI agent was applied in some server rooms to analyze conditions and control cooling equipment in real time. The project transferred Kakao's thermal-management expertise from Kakao Data Center Ansan to an externally leased site, where equipment replacement is constrained. Kakao's broader efficiency initiatives at the Ansan facility reduced greenhouse gas emissions by 4,753 tCO₂eq last year, equivalent to the annual emissions of about 3,400 passenger cars. The companies say the collaboration demonstrates that data-driven operating improvements and AI-based cooling controls can produce energy savings without new equipment investment. The effort comes as the International Energy Agency projects global data center electricity consumption will nearly double from 485 TWh last year to 950 TWh by 2030, while electricity use by AI-focused data centers is expected to triple.