AWS and Verizon have announced a partnership that will bring the power of the world’s leading cloud closer to mobile and connected devices at the edge of Verizon’s 5G Ultra Wideband network. Together they launched the world’s first mobile edge computing platform with AWS Wavelength, to provide developers the ability to deploy applications that require ultra-low latency to mobile devices using 5G.
By utilizing AWS Wavelength and Verizon 5G Edge, developers will be able to deliver a wide range of transformative, latency-sensitive use cases like machine learning inference at the edge, autonomous industrial equipment, smart cars and cities, Internet of Things (IoT), and augmented and virtual reality. To accomplish this, Verizon 5G Edge provides mobile edge computing and an efficient high-volume connection between users, devices, and applications. AWS Wavelength lets customers deploy the parts of an application that require ultra-low latency to the edge of the network and then seamlessly connect back to the full range of cloud services running in AWS.
Verizon 5G Ultra Wideband technology enables a wide range of new capabilities and diverse use cases with download speeds many times faster than typical 4G networks. 5G will also dramatically increase the number of devices that can be supported within the same geographic areas and greatly reduce network latency to mobile devices. Currently, application data has to travel from the device, to the mobile network, to networking devices at the mobile edge, and then to the Internet to get to the application servers in remote locations, which can result in longer latency. This prevents developers from realizing the full potential of 5G in addressing lower latency use-cases.
By placing AWS compute and storage services at the edge of Verizon’s 5G Ultra Wideband network with AWS Wavelength, AWS and Verizon bring processing power and storage physically closer to 5G mobile users and wireless devices, and enable developers to build applications that can deliver enhanced user experiences like near real-time analytics for instant decision-making, immersive game streaming, and automated robotic systems in manufacturing facilities.