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NVIDIA, Nokia and major operators turn mobile networks into distributed artificial intelligence platforms: what changes for businesses

On October 21, 2026, at its GTC conference in Berlin, NVIDIA announced together with Nokia and operators such as T-Mobile, Deutsche Telekom, Orange, Elisa and BT that they will begin using their networks not only to carry calls and data, but also to run artificial intelligence close to users. T-Mobile completed what NVIDIA calls the first call over a commercial network with AI-based radio.

By the 19 80 TIC Cloud team··4 min read
NVIDIA, Nokia and major operators turn mobile networks into distributed artificial intelligence platforms: what changes for businesses

What NVIDIA, Nokia and the operators announced

According to NVIDIA's press release, also published on GlobeNewswire, several operators are installing NVIDIA accelerated computing in their data centers, at metro sites and at the base stations themselves, to run AI models closer to the people, businesses and machines that use them. The most notable announcements were:

NVIDIA also presented two new ARC server configurations, to be manufactured by Dell, Quanta Cloud Technology and Supermicro, and said that nearly 20 operators have announced collaborations of this kind with Nokia. Jensen Huang, NVIDIA's founder and CEO, summed it up this way: networks were built to carry the world's conversations, and now they will also carry its intelligence.

What AI-RAN is and why bring AI to the network edge

The RAN (radio access network) is the part of the mobile network that connects your phone to the antenna. Until now it ran on specialized equipment that did only that. The idea behind AI-RAN is that those same machines, equipped with graphics processors, can handle the radio and, at the same time, run artificial intelligence applications.

The Orange Business case illustrates what it is for. According to Telecom Reseller and The Fast Mode, Orange combines NVIDIA Blackwell servers in its central cloud with ARC equipment at its regional points of presence. In a demonstration with a wildfire scenario, the AI translates in both directions between a caller speaking another language and the emergency operator, transcribes the call and prepares summaries. If a site goes down or becomes overloaded, requests are rerouted to another. Orange has about 50 points of presence in Europe and plans to reach 75 by 2030.

Three advantages are sought: lower delay in responses, resilience against outages or traffic spikes, and control over where data is processed, which is key for banks, insurers or public entities that do not want their customers' voices to leave the country or a trusted environment.

What is still a promise

It's worth reading the announcement with a cool head. TelecomTV points out that most results come from lab tests, short trials or plans for 2027, and that phrases like “world first” are NVIDIA's characterizations, not independent verifications. The same outlet notes that NVIDIA is an investor in Nokia.

Telecom Reseller also notes that Orange has not published results demonstrating response times or resilience under real conditions, that distributing computing does not by itself guarantee regulatory compliance and that operating servers at many sites carries equipment, power and cooling costs. None of the sources publish latency figures. And no Latin American operator appears on the announcement's list, so in the region this technology will first be seen in pilots.

What it means for companies in Colombia and Latin America

Although the deployments are in Europe and the United States, the direction is clear and has consequences for anyone who already uses or plans to use AI in their communications:

At 19 80 TIC Cloud we integrate AI voice agents with your business phone system, so your company can automate customer service today and be ready for what comes next.

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Sources

  1. NVIDIA Newsroom: NVIDIA, Nokia and Leading Telecom Operators Turn Networks Into Distributed Intelligence Platforms
  2. GlobeNewswire: NVIDIA, Nokia and Leading Telecom Operators Turn Networks Into Distributed Intelligence Platforms
  3. TelecomTV: Nvidia boasts greater AI-RAN and AI factory traction with telcos
  4. Telecom Reseller: How Telecom Operators Are Moving AI Infrastructure to the Network Edge
  5. The Fast Mode: Orange Business, NVIDIA advance distributed AI inference for real-time voice AI
We answer your questions

Frequently asked questions

What is AI-RAN?

It is a way of building the radio access network, the part of the mobile network that connects phones to antennas, on servers with graphics processors capable of handling the radio signal and, at the same time, running artificial intelligence applications.

Is AI-RAN already available in Colombia?

No Latin American operators have made announcements in this initiative. The commercial deployments announced by NVIDIA and Nokia are planned mainly for 2027 in Europe and the United States.

Why does it matter that AI runs close to the user?

Because it reduces response time, allows service to continue if a site fails and gives more control over where data is processed. In real-time voice applications, such as translation or agents that answer calls, these factors make the difference.

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