Nine operators across Europe, the Middle East and Africa are now building or expanding infrastructure powered by NVIDIA, and Nokia is running anyRAN trials with BT, Deutsche Telekom, Elisa and Orange. Nearly 20 operators have publicly announced AI-RAN collaborations built on Nokia's anyRAN software and NVIDIA's Aerial RAN Computer (ARC).
A reference design assembled from named components
anyRAN runs on ARC, with CUDA, Nemotron open models and an 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.
Why compute is being placed at the radio
The engineering case rests on assets 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 consuming them, and it lets the radio itself run inference.
The disclosed performance evidence is narrow. Lab measurements from Deutsche Telekom and Nokia put typical uplink throughput improvement for AI-based channel estimation in the region of 10 to 15 percent — a modest return on a distributed compute build-out. Once inference moves outward, backhaul becomes the constraining variable, and Nokia's 800G coherent pluggables give some indication of the inter-site capacity the company expects operators to need.
Different workloads in different markets
- 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.
- BT is preparing live trials in the UK, with a Birmingham trial slated for 2027.
Nokia presents the mix as a set of workloads rather than a single radio feature.
How the suppliers frame it
NVIDIA founder and CEO Jensen Huang said telecom networks were built to carry the world's conversations and will now also carry the world's intelligence, describing leading operators as turning land, power and connectivity into distributed AI infrastructure and the Nokia work as extending accelerated computing into the radio network itself. Nokia chief technology and AI officer Pallavi Mahajan said the next era of connectivity would be defined by networks that distribute intelligence, continuously optimise performance and enable new AI-powered services including physical AI, framing the effort as a software-defined foundation and a practical path toward AI-native 6G.
Dependencies and unresolved questions
Stacking anyRAN, ARC, CUDA and Nemotron into one reference design shortens the integration path, but it also ties 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, which extends that dependency into operations tooling.
Financing remains unsettled. Until AI-service revenue materialises, operators carry the cost of 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.