서면 답변 · 2024-01-09 · 국회 14
AI 연산 능력과 에너지 지속 가능성 균형
의원들은 국가 AI 전략 2.0 추진에 필요한 연산 능력 확대와 에너지 지속 가능성 목표 간의 균형을 어떻게 이룰 것인지 정부에 질의했습니다. 정부는 데이터센터의 에너지 효율 향상, 액체 냉각 기술 확대, 친환경 기준 마련, 친환경 컴퓨팅 방법 지원을 통해 AI 기반시설의 환경 친화적 지속 가능성을 보장할 것을 강조했습니다. 핵심 쟁점은 AI 발전 필요성과 기후 공약 간의 모순을 어떻게 조화시킬 것인가입니다.
핵심 요점
- • Lift data centre efficiency
- • Promote liquid cooling technology
- • Develop green compute methods
친환경 고효율 AI 연산 능력 발전 추진
연산 능력과 에너지 균형 주목
친환경 데이터센터 구축 강화
“The Government is committed to anchoring the necessary compute power and growing the DC sector in a sustainable manner.”
참여자 (2)
영어 원문
SPRS Hansard · Fetched: 2026-05-02
47 Dr Lim Wee Kiak asked the Minister for Communications and Information with regard to the National Artificial Intelligence (AI) Strategy 2.0 (a) how does the Government plan to balance the increased computing power necessary for AI developments with Singapore's energy sustainability goals; and (b) what initiatives or strategies are in place to ensure that the infrastructure and computing power needed for AI growth remain environmentally sustainable.
Mrs Josephine Teo : An important enabler of our National Artificial Intelligence Strategy (NAIS) 2.0 strategy is artificial intelligence (AI) compute power housed in data centres (DCs) in Singapore. The Government is committed to anchoring the necessary compute power and growing the DC sector in a sustainable manner, consistent with our international climate commitments.
One key strategy is to improve the energy efficiency of DCs and facilitate the deployment of efficient cooling solutions. For example, AI compute infrastructure typically relies on liquid cooling, which is more energy-efficient than air cooling for such intensive workloads. Other measures include: (a) supporting DC operators to reduce greenhouse gas emissions through the Economic Development Board's Resource Efficiency Grant for Emissions; (b) developing sustainability standards, such as the Infocomm Media Development Authority's (IMDA)'s Tropical DC Standards that enable DCs to operate safely at higher temperatures and use less energy for cooling; and (c) reviewing Building and Construction Authority (BCA)-IMDA's Green Mark for DCs certification scheme to update the energy-efficiency criteria.
Beyond sustainable AI compute infrastructure, it is important to invest in the development of green computing methods. These methods include (a) coding and algorithm optimisation, (b) software-hardware optimisation, and (c) developing standards for low-data, low-energy AI models. The Government will continue to deepen international and domestic partnerships with the research community and industry partners on this front.