Global growth in artificial intelligence (AI), cloud computing, and\nthe acceleration of digital transformation is beginning to reshape data\ncentre infrastructure requirements worldwide, including in Indonesia.\nAmid rising AI compute needs, liquid cooling technology is seen as\nincreasingly important to maintain stability and operational efficiency\nfor next-generation data centres.<\/p>\n
Unlike conventional computing systems, AI workloads rely on graphics\nprocessing units (GPUs) and high-performance computing, producing much\nhigher rack density. This increases heat generation, requiring more\nprecise cooling systems.<\/p>\n
Schneider Electric Indonesia\u2019s Business VP Data Centre, Ellya Cen,\nsaid AI development has ushered data centres into a new phase with more\ncomplex power and cooling needs.<\/p>\n
\u201cAI is ushering data centres into a new era. Previously,\ninfrastructure was largely measured by room capacity and connectivity;\nnow it must cope with higher power demands, more intense heat, and\nuptime requirements that are increasingly critical,\u201d she said in a press\nrelease received on Friday (22 May).<\/p>\n
She added that AI development is also altering approaches to design\nand operation of data centres, including cooling technology\nselection.<\/p>\n
\u201cProjected IT load growth that significantly rises to 2031 shows that\nAI-ready data centre preparedness is becoming more urgent,\u201d she\nnoted.<\/p>\n
Schneider Electric notes global data centre capacity needs are\nexpected to grow up to fourfold compared with several years ago. In\nIndonesia, digital economy growth and heavy uptake of digital services\nare expected to push up the national data centre infrastructure\nneeds.<\/p>\n
This is reflected in the projection that Indonesia\u2019s IT load will\nrise from around 1,717 MW in 2026 to 4,145 MW in 2031. The figure\nindicates a compound annual growth rate (CAGR) of 19.27%.<\/p>\n
Increased compute demands pose new challenges for data centre\noperators, particularly in terms of power consumption, heat management,\nsystem reliability, and energy efficiency.<\/p>\n
In the forum, Schneider Electric explained that cooling systems for\ndata centres are moving from conventional water cooling toward hybrid\ncooling that combines air cooling and liquid cooling.<\/p>\n
Liquid cooling technology is seen as more effective at removing heat\nin high-density computing environments, while also helping boost energy\nefficiency and operational scalability.<\/p>\n
Schneider Electric Indonesia System & Architecture Engineer Rifa\nHasanah said the AI-ready data centre infrastructure design requires\ncomprehensive integration from power systems, cooling, rack\narchitecture, to monitoring software.<\/p>\n
\u201cThis approach aims to ensure stable compute performance while\nminimising operational risks such as thermal throttling, rising energy\nconsumption, and potential service disruptions,\u201d she said.<\/p>\n
Beyond technical challenges, the development of AI-based data centres\nincreasingly relates to sustainability and energy efficiency. Globally,\nSchneider Electric aims to help customers save or redirect energy\nconsumption by up to 1,500 terawatt-hours (TWh) and avoid cumulative\ncarbon emissions of 1.5 billion tonnes between 2018 and 2030.<\/p>\n
Ellya believes AI transformation will continue to reshape the digital\ninfrastructure landscape in coming years, including driving adoption of\nmore adaptive cooling technologies.<\/p>\n
\u201cThrough our end-to-end portfolio covering power, cooling, racks, and\nsoftware management, we want to assist data centre operators in building\ninfrastructure that is more efficient, reliable, and capable of\nsustaining AI growth,\u201d she added. (Fal)<\/p>\n
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