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Singapore pushes for green data centers as growing AI demand strains energy resources

29/5 2024 11:00

The city-state launched a green data center roadmap on Thursday to support its ambitions for the digital economy as demand for AI and computing grows.
The roadmap aims to provide at least 300 megawatts of additional capacity in the near term and more through “green energy deployments.”
“As demand for AI has grown, so too has demand for energy. This has created strains on national energy networks, which need to be managed in the short term,” Tony Blair Institute for Global Change said in a report on Wednesday.

Singapore is pushing for green data centers as the explosive demand for artificial intelligence puts a strain on energy resources.

The city-state launched a green data center roadmap on Thursday to support its ambitions for the digital economy as demand for AI and computing grows.


“As the demand for digital and AI compute continues to rise, the need for data center capacity will grow,” Senior Minister of State for Communications and Information Janil Puthucheary said on Thursday.

The roadmap aims to provide at least 300 megawatts of additional capacity in the near term, with more through “green energy deployments.”

Plans to provide additional data center capacity include raising energy efficiency of all data centers in Singapore, deploying energy-efficient IT equipment as well as offering incentives or grants for resource efficiency.

“Data centers here also tap on Singapore’s broader international position as a business and digital hub,” Singapore’s Infocomm Media Development Authority said in a press release. IMDA promotes and regulates Singapore’s communication and media sectors.

“As demand for AI has grown, so too has demand for energy. This has created strains on national energy networks, which need to be managed in the short term,” Tony Blair Institute for Global Change said in a report on Wednesday.

The AI boom has boosted demand for data centers which house large amounts of data required to train and deploy AI models, making them extremely energy intensive.