en.Wedoany.com Reported - Singtel Digital InfraCo's AI cloud platform, RE:AI, will accelerate research work at Nanyang Technological University, Singapore (NTU Singapore). The platform provides scientists with scalable, high-performance AI computing resources.

During the pilot phase, 19 interdisciplinary teams from fields such as urban sustainability, healthcare, robotics, and seismology are using the platform. Compared to traditional CPU-based processing, researchers have reduced task completion times from days to hours or minutes using the RE:AI platform. This time compression enables them to conduct more experiments in a shorter period, supporting more exploratory and computationally intensive research. The RE:AI platform adopts a GPU-as-a-Service model, providing the resources needed for large, complex, and time-sensitive workloads. This model also supports running AI applications close to data sources across different systems and devices. Built on Nxera's sustainable, hyper-connected data centers and Singtel's regional network, the platform offers a reliable environment for AI systems to operate efficiently and respond quickly at scale. Additionally, RE:AI provides a secure sovereign environment for sensitive data and supports collaboration between Singaporean research teams and their global counterparts.

Bill Chang, CEO of Singtel Digital InfraCo, stated that as Singapore advances its goals under the "Research, Innovation and Enterprise 2030" (RIE2030) roadmap, secure digital infrastructure and sovereign AI capabilities are crucial for researchers to push the boundaries of knowledge. By providing NTU Singapore with a sovereign AI cloud and on-demand GPU-as-a-Service, the platform enhances its R&D capabilities and helps position Singapore as a destination for world-class research talent.

Professor Luke Ong, Vice President (Artificial Intelligence and Digital Economy) at NTU Singapore, noted that the RE:AI platform provides on-demand GPU capacity for computationally intensive work in areas such as climate change, geological hazards, robotics, and biomedical engineering. In these fields, AI is increasingly becoming a core tool for scientific discovery. By reducing research time from weeks or months, the platform helps scientists shorten the path from idea to experiment.

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