Singtel Launches AI Cloud Service Called RE:AI

Singtel Launches AI Cloud Service Called RE:AI
Singapore’s Singtel has launched RE:AI, its new Artificial Intelligence Cloud Service (AI Cloud) offering, aimed at democratising AI to make it widely available to organisations. The operator said the service gives enterprises and public sector customers affordable access to AI technologies that can transform their operations without needing to invest or maintain in-house infrastructure and supporting resources.

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AI Platform and Infrastructure

The turnkey AI development and deployment platform will combine state-of-the-art AI compute infrastructure like, graphics processing units (GPUs) and storage, AI workspaces and tools, with diverse networks such as, 5G, fixed or quantum safe networks. These will be delivered through Singtel’s patented orchestration platform, Paragon, the company said on Thursday.

The offering will enable customers to deploy, manage and scale their AI applications without having to worry about the overheads of complex infrastructure, thereby allowing them to innovate and take their productivity to next level, Singtel said.

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Five Key Partnerships to Drive AI Democratisation

Singtel says it aims to democratise AI by working with strategic partners in five ways – through the creation of a research and development AI Cloud platform, facilitation of AI adoption for the advanced manufacturing sector, ecosystem development to accelerate the deployment of AI solutions, curation of tech incubation and acceleration programme for promising tech companies and AI skills training to empowering its workforce. Five Memoranda of Understanding (MOU) were signed with these partners in these areas, at the launch of RE:AI, the company said.

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Mr Bill Chang, CEO of Singtel’s Digital InfraCo, said, “Many enterprises and public sector customers have shown keen interest to bring AI into their operations. However, the high costs and long lead times for GPUs, the need for special environments to host them due to their intense energy utilisation, the complexity of AI technology and the lack of talent are key friction points in their respective journeys.”