Ericsson and Google Cloud expand successful collaboration with Cloud RAN offering
- Ericsson expands partnership with Google Cloud for Cloud RAN solution, offering automation and orchestration using AI/ML
- Ericsson Cloud RAN on GDC Edge enables efficient, reliable, and secured infrastructure
- CSPs can utilize Google Cloud services to improve usability of data sets
- Ericsson Cloud RAN provides choice for networks based on open standards
- Partnership opens new opportunities for operators to utilize cloud-native solutions and automation
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- Ericsson Cloud RAN (Radio Access Network) now runs on Google Distributed Cloud, utilizing the x86-based accelerator stack
- The joint solution offers integrated automation and orchestration using artificial intelligence (AI) and machine learning (ML) and enables communications service providers (CSPs) with faster delivery of services, increased efficiency, and greater flexibility and optimization opportunities in their networks.
GDC is a portfolio of fully managed hardware and software solutions which extends Google Cloud's infrastructure and services to the edge and into your data centers.
The teams have successfully demonstrated the full implementation of the Ericsson vDU and vCU on GDC Edge and the solution is running live in the Ericsson Open Lab in
Deploying Ericsson Cloud RAN on GDC Edge enables the delivery of a fully automated and very large-scale distributed cloud, resulting in an efficient, reliable, highly performant and secured software centric radio access network infrastructure. In this setup, the on-premises GDC Edge is managed using functions such as fleet management from the public cloud through a dedicated secure connection between on-prem hardware and the cloud, while also addressing sovereignty and privacy requirements of the CSP customers. This architecture ensures the clear path for CSPs toward the implementation of a fully hybrid cloud solution for RAN.
Running Ericsson Cloud RAN on GDC Edge will enable CSPs to utilize Google Cloud Vertex AI, BigQuery and other cloud services, to improve the usability of the massive data sets being provided by Cloud RAN applications. This in turn, will open a number of opportunities for CSPs to control, inspect, configure, and optimize their RAN infrastructure.
Ericsson Cloud RAN provides CSPs additional choice for creating networks based on open standards and interfaces using multiple vendors. The Ericsson Cloud RAN solution is infrastructure agnostic, allowing RAN applications to be deployed on any infrastructure chosen by the CSP. Ericsson is continuously collaborating with ecosystem partners and adapting its Cloud RAN applications to work on different infrastructures and configurations.
To further a cloud-native automation approach to network workloads, Ericsson and Google Cloud are jointly enhancing the solution through the Linux Foundation open-source project Nephio (a Kubernetes-based automation platform for deploying and managing highly distributed, interconnected workloads such as 5G network functions), where we jointly drive standardization of critical functionality.
Mårten Lerner, Head of Product Line Cloud RAN, Ericsson, says: "This partnership enables us to deepen and expand our valuable collaboration with Google Cloud, and it opens new opportunities for operators to utilize the benefits of cloud native solutions and automation. Ericsson remains committed to ensuring the adaptability of its Cloud RAN applications on diverse cloud infrastructures, offering operators enhanced flexibility and choice in deploying Cloud RAN as well as supporting the evolving hybrid cloud architectures together with Google Cloud."
Gabriele Di Piazza, Senior Director, Telecom Products, Google Cloud, says:
"We're proud to enable Ericsson Cloud RAN to run on Google Distributed Cloud Edge infrastructure, which includes access to our AI/ML capabilities as well as cloud-native automations. We're delighted to recognize Ericsson as a distinguished Google Cloud Partner and look forward to a continued strong partnership in support of our mutual customers."
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