en.Wedoany.com Reported - Amdocs, 1Finity, a network solutions provider under Fujitsu, and Supermicro have announced the successful completion of a real-time AI-RAN field validation blueprint. This blueprint demonstrates how AI-assisted optimization enhances network performance, efficiency, optimization, and anomaly detection capabilities, while cloud-native operations simplify deployment and upgrades on a unified AI and RAN platform designed to support future edge AI services.

This deployment showcases a multi-vendor integrated end-to-end next-generation Open vRAN architecture. The architecture runs 1Finity's Open vRAN software on Supermicro's ARM-based 1U server, equipped with NVIDIA GH200 Grace Hopper superchip, and is deployed on the Red Hat OpenShift platform. The entire system integrates 1Finity radios, a 5G standalone core, and commercial devices, achieving seamless connectivity and reliable performance. Leveraging its network system integration expertise, Amdocs enables cloud-native, AI-driven RAN orchestration and optimization on next-generation GPU-accelerated infrastructure. These capabilities have been encoded as network workflows in Amdocs aOS (Agent Operating System), facilitating flexible deployment and scaling for global CSPs.
This collaboration is seen as a step toward more autonomous network operations. In the future, this work lays the foundation for the next phase of AI-driven network innovation—physical AI—enabling service providers to support latency-sensitive, context-aware, and compute-intensive applications.
Patrik Eriksson, Vice President and Head of Mobile Systems Business Unit at 1Finity, stated that 1Finity's Open vRAN software and O-RAN radios, combined with computing based on the NVIDIA GH200 Grace Hopper superchip, demonstrate that cloud-scale elasticity and carrier-grade performance can coexist, creating conditions for AI-driven optimization in the RAN.
Anthony Goonetilleke, Group President of Technology and Head of Strategy at Amdocs, noted that leveraging AI capabilities to empower networks brings advantages such as optimized utilization and support for edge applications. This AI-RAN blueprint is a key component in service providers' transition from automated operations to autonomous, outcome-driven networks, and a core element of aOS agent network workflows, where AI agents continuously perceive network status, reason, and take action.
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