Nokia and NVIDIA are moving AI-RAN from reference designs into operator field work. Nearly 20 operators have publicly announced AI-RAN collaborations built on Nokia's anyRAN software and NVIDIA's Aerial RAN Computer (ARC), and nine operators across Europe, the Middle East and Africa are now building or expanding NVIDIA-powered infrastructure. Nokia is running anyRAN trials with BT, Deutsche Telekom, Elisa and Orange.
A reference design assembled from named parts
Nokia's anyRAN software runs on ARC, with CUDA, Nemotron open models and the Agent Toolkit embedded into Nokia's Autonomous Networks Suite and into third-party operations software from Cisco, TCS and NTT DATA. Dell, QCT and Supermicro supply ARC-ready servers, and Red Hat OpenShift provides the cloud-native foundation beneath them. Stacking anyRAN, ARC, CUDA and Nemotron into a single reference design shortens the integration path, but it also anchors operators to NVIDIA's programming model at the radio layer, with Nokia's RAN software sitting above it. Cisco and Nokia are both folding Nemotron open models into the software used to run autonomous networks, extending that dependency into operations tooling.
Where the engineering case rests
Nokia frames the argument around estate operators already control at the land, power and shell layer, plus spectrum and fibre. Adding accelerated compute at centralised, metro and cell sites lets them serve models nearer to the machinery, responders and handsets that consume them, and lets the radio itself run inference. Lab measurements from Deutsche Telekom and Nokia put typical uplink throughput improvement for AI-based channel estimation at roughly 10 to 15 percent — a modest return on a distributed compute build-out. Backhaul becomes the constraining variable once inference moves outward, and Nokia's 800G coherent pluggables indicate the inter-site capacity the company expects operators to need.
Trials span a mix of workloads
Elisa completed Europe's first AI-RAN field trial, running voice, mobile data and vision AI together on one accelerated platform over 5G. Orange is introducing voice intelligence services for enterprises and emergency responders, Deutsche Telekom is working on physical AI for industrial customers, and BT is preparing live trials in the UK. The company describes the result as a workload mix rather than a single radio feature.
Vendor positioning and the commercial gap
NVIDIA founder and CEO Jensen Huang cast the shift as telecom networks that will also carry "the world's intelligence", saying leading operators are turning land, power and connectivity into distributed AI infrastructure and that, with Nokia, accelerated computing is being extended into the radio network itself to underpin AI-native 5G. Nokia chief technology and AI officer Pallavi Mahajan said the goal is a trusted, software-defined foundation that helps operators get more from spectrum today while opening a practical path toward autonomous, AI-native 6G.
Until AI-service revenue materialises, operators carry the financing for distributed compute and backhaul, while the suppliers of accelerated compute and RAN software hold the layer where incremental value would accumulate. The disclosed checkpoints cluster in 2027: BT's Birmingham live trial, Deutsche Telekom's field trials and Elisa's distributed deployment with commercial AI-RAN services are all slated for then.