Nokia claims a first with GPU-accelerated radio platform
On July 15, Nokia unveiled what it calls the industry’s first commercial AI-native radio access network platform. Built on the company’s anyRAN software and NVIDIA‘s Aerial computing platform, the system promises to squeeze dramatically more performance out of existing spectrum. The vendor says it has already measured over 20% spectral efficiency gains in testing, with ambitions to hit 50% by 2027 and more than 100% by 2028. At that upper target, operators could effectively double the capacity of the frequencies they already own. Pilots are slated for late 2026, with commercial availability arriving in 2027.
The technical pitch is straightforward. Rather than swapping out base stations, carriers buy a software subscription and pick from three hardware paths: a GPU-powered plug-in card for existing AirScale sites, a standalone AI-RAN node, or a cloud-server build delivered through partners. Nokia frames this as the most significant shift in radio architecture in decades, and the announcement landed just days before its second-quarter earnings report.
Why this matters for Nokia’s struggling radio business
To read the launch only as a product story is to miss why it matters to Nokia. Radio has been chief executive Justin Hotard‘s hardest problem since he took over in 2025. At Nokia’s capital markets day in November of that year, he told investors the mobile business had not delivered acceptable returns. He folded it into a new Mobile Infrastructure segment alongside further cost cuts.
The NVIDIA partnership, announced in October 2025 with a $1 billion investment from the chipmaker for roughly a 3% stake, sits at the centre of that repair job. By building on NVIDIA’s silicon and CUDA software rather than its own custom chips, Nokia can cut a slice of costly in-house R&D and redirect it toward software. That is the shift Hotard has described as moving away from a legacy hardware model.
Investors have rewarded the story. Nokia shares have re-rated sharply through 2026 on the strength of its AI and cloud momentum. Omdia, whose analyst Rémy Pascal is quoted in Nokia’s own announcement, has put the cumulative AI-RAN opportunity above $200 billion by 2030. The direction of travel is real. The open question is how much of it Nokia can claim as a lead.
Is the Nokia AI-RAN platform really the first?
Here, the “industry’s first” label needs care. In June, Ericsson began selling a commercial AI-in-RAN software subscription that it says delivers up to 20% higher downlink throughput and up to 10% better spectral efficiency across more than 15 live deployments. Crucially, it runs on operators’ existing baseband silicon — no GPU required. On availability, Ericsson is already in the market.
Nokia’s claim to a first rests on a narrower definition: a GPU-accelerated AI-RAN platform, a different architecture from AI features layered onto existing hardware. Both statements can hold at once, which is exactly why the framing deserves scrutiny rather than a straight repeat.
Two different architectural bets
The divergence runs deeper than timing. Nokia has tied its radio roadmap to NVIDIA, and its chief technology officer, Pallavi Mahajan, has acknowledged that at least some of the Layer 1 software is bound to the underlying hardware. Ericsson has taken the opposite route by design, keeping its AI features silicon-independent to avoid that dependency.
Nokia points to merchant silicon from Marvell in its wider ecosystem and describes the platform as Open RAN-compliant. But the performance case it is selling — those spectral efficiency gains — currently runs through NVIDIA’s stack, for which no equivalent alternative exists today. The openness in the messaging and the NVIDIA dependency in the engineering are both features of the same launch.
A comeback in motion, not one already won
None of this makes the strategy wrong. Outsourcing the silicon race to the industry’s dominant AI-chip supplier is a defensible answer to a business Nokia had struggled to fix on its own. The subscription model also gives radio the recurring revenue its hardware cycles never did.
But the platform is not yet commercial. Its headline efficiency numbers are still two years out. At least one major rival reached the market first by a different road. For Nokia, this is a comeback in motion, not one already won, and its trajectory now runs, for better or worse, through NVIDIA.
See also: AI-native networks are no longer a 6G promise — what MWC 2026 proved about the shift toward GPU-driven radio architectures.
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