Singtel Digital InfraCo’s AI cloud, RE:AI, will accelerate research at Nanyang Technological University, Singapore (NTU Singapore), giving scientists ready access to scalable, high-performance AI computing. In a pilot run, 19 teams across disciplines including urban sustainability, healthcare, robotics and seismology are using the platform in their research projects.
With the platform, researchers have been able to cut task completion times from days to just hours or minutes, compared to using conventional CPU-based processing. This, in turn, will enable more experimentation within a shorter timeframe, supporting more exploratory and computationally demanding research.
Through its GPU-as-a-Service model, RE:AI delivers the resources needed for large, complex and time-sensitive workloads, while enabling AI applications that run across different systems and devices closer to the source of data.
Built on Nxera’s sustainable, hyperconnected data centres and Singtel’s regional network, RE:AI provides a dependable environment that allows AI systems to run efficiently and respond quickly at scale. In addition, it offers a secure sovereign environment for sensitive data and supports collaboration between research teams in Singapore and counterparts around the world.
Bill Chang, Chief Executive Officer, Digital InfraCo, Singtel, said, “As Singapore advances its ambitions under the Research, Innovation and Enterprise 2030 (RIE2030) roadmap, secure digital infrastructure and sovereign AI capabilities are critical to enabling researchers – individually and in teams – to push the boundaries of knowledge. Singtel is proud to support these efforts by enabling institutions like NTU Singapore to harness advanced AI without heavy investment. This allows researchers to run complex computations, modelling and simulations more efficiently. By equipping NTU Singapore with our sovereign AI cloud and on-demand GPU-as-a-Service, we are strengthening its R&D capabilities and helping position Singapore as a leading destination for world-class research talent.”
Professor Luke Ong, Vice President (AI & Digital Economy), NTU Singapore, said, “NTU Singapore is accelerating AI adoption and development across disciplines. This includes building up the University’s AI compute capabilities available to our research community. RE:AI provides on-demand GPU capacity for computationally intensive work in areas such as climate change, geological hazards, robotics and biomedical engineering, where AI is increasingly central to scientific discovery and real-world impact. By cutting weeks or months from such research, RE:AI can help our scientists shorten the path from idea to experiment.”
NTU’s use of RE:AI supports the University’s research priorities and aligns with the Singapore government’s RIE2030 roadmap.
