Amdocs announced the successful completion of a live AI-RAN field-validated blueprint in collaboration with 1Finity and Supermicro.
AI-RAN is becoming a strategic priority for communications service providers (CSPs) seeking to improve network efficiency, performance, and operational agility as they prepare for more autonomous network operations. The blueprint demonstrates how AI-assisted optimisation can improve network performance and efficiency, optimisation, and anomaly detection; while cloud-native operations simplify deployment and upgrades on a unified AI and RAN platform designed to support future Edge AI services.
This deployment showcased next-generation Open vRAN architecture running 1Finity Open vRAN software on Supermicro ARM-based 1U servers equipped with NVIDIA GH200 Grace Hopper Superchips deployed on Red Hat Openshift. The end-to-end setup brings together 1Finity radios, a 5G standalone core, and commercial devices in a fully integrated, end-to-end multivendor environment, demonstrating seamless connectivity and reliable performance. Amdocs leverages deep network systems integration expertise to enable cloud-native, AI-driven RAN orchestration and optimisation on the next-generation GPU-accelerated infrastructure. The capabilities were then codified as a Network Workflow in Amdocs aOS, agentic operating system, enabling global CSPs to deploy and scale capabilities simply and flexibly.
This work serves as a milestone in the industry’s progression towards more autonomous communications operations, where intelligence is increasingly embedded into how RAN environments are managed and optimised. Looking ahead, this collaboration sets the stage for the next phase of AI-driven network innovation, physical AI, positioning service providers to support latency-sensitive, context-aware and compute-intensive applications that go beyond traditional connectivity plays.
“1Finity’s Open vRAN software and O-RAN radios, combined with NVIDIA GH200 Grace Hopper Superchip-based compute, show that cloud-scale elasticity and carrier-grade performance can co-exist, creating a runway for AI-driven optimisation in the RAN,” said Patrik Eriksson, Vice President and Head of the Mobile Systems Business Unit at 1Finity.
“Supercharging the network with AI capabilities unlocks significant benefits, from optimizing utilization to enabling edge-based enterprise applications,” said Anthony Goonetilleke, Group President of Technology and Head of Strategy at Amdocs. “This AI-RAN blueprint is a critical component in service providers’ transition from automated operations to autonomous, outcome-driven networks. The AI-powered RAN is also a core element of the aOS agentic network workflows, in which AI agents continuously sense network conditions, reason, and take action.”
