Singtel rolls out public MEC for enterprises

Singtel is bringing computing to the edge for enterprises. It is rolling out the Azure public multi-access edge compute (MEC) available for all enterprises. This unlocks opportunities to experience the advantages of edge computing and artificial intelligence (AI) accelerated by 5G.

MEC moves computing of traffic and services from a centralised cloud to the edge, reducing network latency and lowering costs through sharing of network resources.

The telco also announced that National University Health System (NUHS) has successfully trialled its high-speed connectivity and low latency 5G network, Paragon and Microsoft Azure, with tools and applications to help surgeons leverage mixed reality technology to better visualise organs in high resolution 3D, and plan operating procedures.

The success of this trial demonstrates how doctors from NUHS can streamline the planning of surgical operations, improve patient education and safety, and create a more intuitive and immersive environment for surgical training and research with 5G.

“With Singtel 5G and Paragon, and Microsoft Azure public MEC, customers can rapidly develop, test and deploy 5G applications such as autonomous guided vehicles, drones, immersive virtual reality and real time digital twin use cases,” said Bill Chang, Chief Executive Officer of Group Enterprise at Singtel.

According to Yousef Khalidi, Corporate Vice President of Azure for Operators at Microsoft, the collaboration with Singtel provides a unified compute solution from the cloud to the edge that will help organisations and developers build more Singapore-born innovation.

By providing enterprises with fast, reliable, and secure connectivity, Azure public MEC enables data processing and storage to be moved closer to end-users, reducing latency and enhancing overall network performance. This will unlock new opportunities for customers to build and manage end-to-end use cases such as digital twins, distributed compute video analytics solution and large language model (LLM).

At the launch event was Quantiphi, which took just three weeks to develop a real-time LLM-powered avatar based on NVIDIA Omniverse digital twin technology to enable people to interact in natural language on any topic of interest. Businesses can deploy these avatars anywhere over 5G.