Using the Amazon Web Services (AWS) Outposts, the MEC will enable 5G solutions like robotics, drones, autonomous vehicles and artificial intelligence to operate at ultralow latency, closer to the end-users.
“We’re pleased to work with a world-class cloud provider like AWS to expand Singtel’s and Optus’ 5G ecosystems and increase the adoption of edge computing by enterprises and start-ups,” said Bill Chang (pictured), chief executive officer of group enterprise at Singtel.
“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.”
AWS Outposts enables service providers to operate the full suite of AWS tools and services on their premises. Combined, the MECs with AWS Outposts can be accessed from the closest Singtel site to help businesses operate their applications that use AWS tools and require ultralow latency data processing.
In addition, 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.
“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,” said Phil Davis, managing director of Asia Pacific and Japan at Amazon Web Services.
“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.”
