Singtel, a Singaporean telecommunications conglomerate, and its Australian subsidiary Optus have expanded their 5G ecosystems by adding Amazon Web Services (AWS) Outposts to their portfolio of hybrid cloud technologies from hyperscale cloud providers in their respective multi-access edge compute (MEC) platforms.
With Amazon Web Services Outpost, MEC will power 5G solutions such as robotics, drones, autonomous vehicles and artificial intelligence to function with very little latency, and closer to end-users. Companies can access MECs with AWS Outposts from the nearest Singtel site, allowing them to seamlessly manage their applications that utilize AWS tools and benefit from extremely low latency data processing.
Furthermore, Singtel may optionally install the MEC with AWS Outposts at the customer’s site for testing, in the case where the customer wishes to keep confidential data on its premises.
Bill Chang, CEO of group enterprise at Singtel said its partnership with AWS will increase the adoption of edge computing by enterprises and startups: “Our 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. This will enhance our portfolio of 5G edge computing apps to empower enterprises with the means to accelerate their digital transformation.”
Phil Davis, managing director of Asia Pacific and Japan at Amazon Web Services, commented: “Our customers are excited to unlock the potential of 5G networks, and we are pleased to collaborate with Singtel and Optus to lead and shape 5G adoption in Singapore and Australia. 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.”