Singtel and Optus expand 5G ecosystems

Enabling 5G solutions like robotics, drones, autonomous vehicles and artificial intelligence to operate at ultra-low latency.

Singtel and Optus will expand their 5G ecosystems by enabling enterprises and start-ups to develop low latency 5G solutions on their Multi-access Edge Compute (MEC) infrastructures. The MEC, leveraging the Amazon Web Services (AWS) Outposts, will enable 5G solutions like robotics, drones, autonomous vehicles and artificial intelligence to operate at low latency, closer to the end-users.

AWS Outposts is a solution that enables service providers to operate the full suite of AWS tools and services on their premises. The MECs with AWS Outposts can be accessed from the closest Singtel site to help businesses seamlessly operate their applications that use AWS tools and require ultra-low latency data processing.

Singtel can also deploy the MEC with AWS Outposts to the customer’s location for trials involving confidential data that the customer prefers to retain within their premises, said Bill Chang CEO of group enterprise at Singtel.

AWS will help expand Singtel’s and Optus’ 5G ecosystems and increase the adoption of edge computing by enterprises and start-ups. Its 5G ecosystems of partners, including global cloud providers, technology providers, device manufacturers and apps developers, provides an essential one-stop hub for enterprises’ and start-ups’ 5G and edge computing needs.

“As we gear up to launch and lead 5G adoption in Singapore and in Australia through Optus, we will deepen our collaboration with AWS to expand beyond the two countries to the region,” said Chang. “This will enhance our portfolio of 5G edge computing apps to empower enterprises with the means to accelerate their digital transformation.”

AWS Outposts will provide the underlying compute and storage for Singtel’s and Optus’ 5G MEC infrastructures, allowing their customers to develop applications that require ultra-low latencies over the 5G network to support use cases such as machine learning inference at the edge, smart cities and smart factories, and autonomous vehicles.

According to Markets and Markets, the global edge computing market is projected to grow at a Compound Annual Growth Rate of 34.1 per cent from US$4.04 billion in 2020 to US$26.6 billion in 2026.











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