Table of Contents
Bridge had previously announced plans to invest between S$3-S$5 billion ($2.34-$3.90 billion) in Singapore to expand AI-ready data center infrastructure
In sum – what to know:
Major financing planned – Bridge Data Centres is in discussions to secure up to $6 billion in debt, potentially one of Asia’s largest data center loans.
Thailand expansion focus – Proceeds would support new capacity in Thailand, including a planned campus backed by secured water resources.
AI demand driving deals – The financing reflects continued momentum in AI-led infrastructure investment across Asia-Pacific, despite rising investor caution.
APAC data center operator Bridge Data Centres (BDC) is negotiating with lenders for a potential loan of up to $6 billion, as it looks to expand its footprint in Thailand.
The proposed loan remains under discussion and could change depending on market conditions and lender appetite.
Funds raised would be directed toward developing new data center capacity in Thailand, where BDC is planning a major campus. The company has already secured water supply arrangements to support the site, a key requirement for large-scale data centre operations.
The move comes amid sustained demand for AI and cloud infrastructure across the region. The rapid growth of AI workloads is continuing to drive large-scale capital investments, particularly in emerging data center markets in Southeast Asia.
Asia-Pacific will overtake the United States in colocation data center capacity by 2028 or early 2029, according to Pritesh Swamy, head of data center research and advisory for Asia-Pacific at Cushman & Wakefield. While Southeast Asia is seeing rising interest, newer markets like Vietnam, Thailand and the Philippines have lagged behind faster-growing hubs such as India or Malaysia. Swamy previously told RCR Wireless News that these countries are only now improving regulatory and approval frameworks. “It’s only in the recent years where countries such as Philippines, Vietnam have enabled their regulatory processes… making it easier for operators to come into their markets,” he noted.
BDC, backed by Bain Capital, had previously announced plans to invest between S$3-S$5 billion ($2.34-$3.90 billion) in Singapore to expand AI-ready data center infrastructure.
The company said the investment will support the development of next-generation digital infrastructure and help reinforce Singapore’s role as a regional hub for AI and cloud services.
The firm currently operates hyperscale data center campuses across Southeast Asia and India and aims to expand its regional capacity to about 2 gigawatts by 2030.
Energy supply and sustainability are becoming central considerations in data center expansion as AI workloads increase power consumption. Bridge Data Centers said it is exploring alternative energy solutions and partnerships aimed at strengthening long-term power strategies for AI infrastructure.
One initiative involves a collaboration with Concord New Energy to develop what the partners describe as Singapore’s first floating hydrogen power generation system designed for data center applications.
Bridge is also collaborating with several technology vendors to develop cooling and power systems designed for high-density AI computing environments.
Bridge Data Centers is assessing nuclear energy as a potential power source for future data center infrastructure, as operators search for low-carbon energy options capable of supporting rapidly growing AI workloads.
The company recently announced it has signed a letter of intent with Singapore’s A*STAR Institute of High Performance Computing and engineering consultancy HY with the aim of evaluating the feasibility of nuclear energy for next-generation, AI-ready data centers.
Under the terms of the collaboration, the research institute will conduct physics-based simulations to analyze risks related to hydrogen storage and its use as a sustainable energy source for data center operations. The results will then inform a broader risk assessment focused on possible nuclear power plant designs and their system architectures.
