Wind River on Tuesday announced that KDDI has used Wind River Studio for its O-RAN–compliant 5G stand-alone virtualized base station technology, which has recently launched on its commercial network.
Wind River is a leader in the early 5G landscape, powering the majority of 5G RAN deployments with operators such as Verizon and Vodafone, and its Wind River Studio capabilities address service providers’ complex challenge of deploying and managing a physically distributed, ultra-low-latency cloud-native infrastructure.
The growth of 5G, AI, automation, and cloud-native technologies has opened new possibilities for applications at the far edge, such as robotics, drones, and autonomous vehicles. Recent research from Forbes finds that 90% of telecom leaders believe more than 50% of their offerings will need to work on the far edge cloud within less than three years.1
Wind River Studio provides a cloud-native platform for the development, deployment, operations, and servicing of mission-critical intelligent systems. Its cloud infrastructure capabilities include a fully cloud-native, Kubernetes- and container-based architecture, based on the StarlingX open source project, for distributed edge networks at scale. Addressing the complexities of deploying and managing cloud-native vRAN infrastructure, Studio delivers a foundation for a geographically distributed, managed solution able to simplify Day 1 and Day 2 operations by providing single-pane-of-glass, zero touch automated management of thousands of nodes, no matter their physical location.
Kazuyuki Yoshimura, Chief Technology Officer, KDDI
We are pleased to announce that we have developed a 5G virtualized base station that complies with the O-RAN standard and has launched on our commercial network. KDDI aims to provide customers advanced communication services with flexibility and speed that meet usage needs with open and virtualize base stations.
Paul Miller, Chief Technology Officer, Wind River
5G opens up new opportunities, with greater intelligence and compute moving toward the edges of the network. Much of our future will be run on a virtualized, distributed cloud with low-latency, far edge cloud architecture to support new use cases in the new intelligent machine economy. We are able to provide solutions to help prepare for a cloud-native future and deliver on high-reliability, ultra-low-latency, and highly efficient solutions for next-generation networks.
