AWS Launches AWS Wavelength to Help Developers to Build Edge Apps for 5G Network

AWS recently announced AWS Wavelength, which provides developers the ability to build applications that serve end-users with single-digit millisecond latencies over the 5G network.

Wavelength embeds AWS compute and storage services at the edge of telecommunications providers’ 5G networks, enabling developers to serve use-cases that require ultra-low latency like machine learning inference at the edge, autonomous industrial equipment, smart cars and cities, Internet of Things (IoT), and Augmented and Virtual Reality. Wavelength brings the power of AWS to the edge of the 5G network, so developers can deploy the portions of an application that require ultra-low latency within the 5G network, and then seamlessly connect back to the rest of their application and full range of cloud services running in AWS. AWS customers can now use the same familiar AWS APIs, tools, and functionality they use today, to deliver-low latency applications at the edge of the 5G network, around the world.

AWS is partnering with Verizon on making AWS Wavelength available across the United States. Currently, AWS Wavelength is being piloted by select customers in Verizon’s 5G Edge, Verizon’s mobile edge compute (MEC) solution,in Chicago. Additionally, AWS is collaborating with other leading edge telecommunications companies (including Vodafone, SK Telecom, and KDDI) to launch AWS Wavelength across Europe, South Korea, and Japan in 2020, with more global partners coming soon.

With infrastructure that consists of 69 Availability Zones, in 22 AWS Regions, AWS enables developers to serve end-users with low latencies worldwide. However, emerging interactive applications like game streaming, virtual reality, and real-time rendering require even lower latencies, of single-digit milliseconds to end-users and devices, connected through mobile networks. In addition, use-cases like industrial automation, smart cities, IoT, and autonomous vehicles require data processing to take place close to the source in order to conserve resources like device power and bandwidth.