Equinix has officially unveiled plans for its sixth data center in Singapore, marking a significant investment in Southeast Asia’s growing digital infrastructure landscape. The new facility, named SG6, represents a $260 million initiative to support the region’s increasing demand for advanced colocation and AI-ready services. Positioned in the dense industrial hub of Tai Seng, SG6 will integrate cutting-edge technology to cater to the rising computational needs of AI and other digital advancements.
This expansion builds upon Equinix’s extensive network of 268 data centers across 34 countries, reinforcing its dominance in the Asia-Pacific region. The company currently operates 59 centers in 15 key metros, including Singapore, Japan, and Korea. This new addition is a testament to Singapore’s status as a pivotal digital hub and Equinix’s commitment to fostering sustainable, high-performance infrastructure.
Equinix’s strategy aligns closely with global efforts to enhance sustainability within the tech sector. The company has pledged to achieve climate neutrality by 2030, with all its Singapore facilities already running on 100% renewable energy since 2020. SG6 will feature advanced water-efficient cooling systems and other eco-conscious innovations to meet stringent environmental standards while addressing the growing demand for high-density, compute-intensive applications.
The data center is expected to provide a capacity of 2,000 cabinets and offer 1,475 square meters of colocation space upon completion in 2025. This robust infrastructure is designed to support emerging technologies such as generative AI, which demand significant computational power. As businesses increasingly turn to AI-driven solutions, facilities like SG6 will be critical in managing data-intensive operations efficiently.
Equinix has partnered with prominent institutions, including the National University of Singapore and industry leaders like Dell Technologies, to drive research into sustainable data center practices. These collaborations aim to explore alternative energy sources and optimize software-hardware integration, ensuring that AI-ready facilities not only meet current demands but are also equipped for future technological advancements.
