IBM and the National University of Singapore (NUS) are teaming up to establish a new AI research and innovation centre.
The centre would aim to accelerate scientific research leveraging IBM’s full-stack AI infrastructure and a selection of open-source models, including IBM’s flagship series of Granite models.
Based at the NUS School of Computing, the two partners envision that the centre will feature the first such full-stack AI infrastructure system installed on a university campus in the Asia-Pacific region by IBM.
Equipped with full AI infrastructure and supported by the strong research expertise of NUS and IBM, the centre will aim to serve as an innovation platform for Singapore agencies, academic and research institutions, as well as companies to jointly conduct cutting-edge AI research with significant translational potential.
The two parties envision that a cornerstone of the center will be to advance a sustainability focused “open innovation” approach to developing AI technologies across the stack, to have a much broader potential to improve the quality and pace of adoption of new AI technologies.
Additionally, IBM and NUS hope to work together to develop tools and methodologies that help build trust in AI.
IBM and NUS propose to install a full-stack AI-optimised computing infrastructure at NUS that will include IBM AIU accelerators that are optimised for the efficient inferencing of AI workloads.
The AI-optimised computing infrastructure would operate on the IBM watsonx data and AI platform and Red Hat hybrid cloud platform.
The proposed collaboration would leverage NUS’ expertise to drive technological progress in AI, enabling more powerful, efficient, and versatile AI systems that can tackle increasingly complex tasks.
“We envision a future where an open ecosystem is most vital to harness the best of collective intelligence, “ sai Liu Bin, NUS Deputy President (Research and Technology).
To provide a full stack solution, the proposed collaboration would enable the NUS Graduate Research Innovation Programme (GRIP), a deep tech entrepreneurship programme, together with local startups as well as small and medium-sized enterprises, to gain access to the AI Innovation Platform with Red Hat OpenShift AI for management and runtime needs and IBM’s watsonx platform.
