
Nokia and Nvidia have jointly unveiled what they describe as the industry's first commercial AI-native radio access network platform, designed to help telecom operators increase network capacity without acquiring additional spectrum. The platform has already shown more than 20% efficiency gains in demonstrations and is projected to deliver over 100% efficiency gains by 2028, effectively doubling existing spectrum capacity. Pilot deployments will begin by the end of 2026, with full commercial availability expected in 2027.
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Nokia and Nvidia unveiled what they call the industry's first commercial AI-native radio access network platform, combining Nokia's AI-native anyRAN software with Nvidia's Aerial AI-RAN technology. Pilot deployments are scheduled to begin by the end of 2026, with commercial availability expected in 2027.
Why it matters
Telecom companies can use AI to boost network capacity without adding more spectrum—a scarce and expensive resource. Nokia has already demonstrated more than 20% spectral efficiency gains through AI-driven radio innovations and expects the platform to deliver over 100% efficiency gains by 2028, effectively doubling the capacity of existing spectrum assets.
What to watch
Pilot deployments begin by end of 2026; commercial availability in 2027. Nvidia CEO Jensen Huang described AI-RAN as "a generational shift" that could transform radio networks into AI infrastructure while laying the foundation for future 6G services.
Nokia and Nvidia jointly unveiled what they describe as the industry's first commercial AI-native radio access network platform, combining Nokia's AI-native anyRAN software with Nokia's AI-native anyRAN software with Nvidia's Aerial AI-RAN technology. The partnership targets a central challenge facing telecom operators: boosting network capacity without acquiring additional spectrum, a scarce and costly resource.
The platform has already demonstrated concrete results in testing. Nokia reported more than 20% spectral efficiency gains through AI-driven radio innovations, meaning the AI is extracting more usable capacity from the same amount of spectrum. The company projects even larger gains going forward, expecting the platform to deliver over 100% efficiency gains by 2028—a figure that, if achieved, would effectively double the capacity of existing spectrum assets. This projection suggests that as the AI algorithms mature and learn from real-world deployment, the efficiency improvements will accelerate significantly.
The commercial rollout is structured in two phases. Pilot deployments are scheduled to begin by the end of 2026, allowing a subset of telecom operators to test the platform in production networks and validate its performance. Full commercial availability is expected in 2027, opening the platform to broader adoption across the global telecom industry. Nvidia CEO Jensen Huang described the technology as "a generational shift" capable of transforming radio networks into AI infrastructure while laying the foundation for future 6G services, framing the platform as a foundational technology not just for current wireless efficiency but for the next generation of cellular communications.
The partnership between Nokia and Nvidia addresses a fundamental constraint in wireless communications: the scarcity of radio spectrum. Rather than requiring telecom operators to acquire additional spectrum licenses—a costly and often limited option—the AI-native radio access network platform leverages artificial intelligence to extract more capacity from existing spectrum assets. Nokia's demonstration of over 20% efficiency gains suggests the technology is already delivering measurable benefits, while the projection of over 100% efficiency gains by 2028 indicates the companies expect the AI optimization to become increasingly sophisticated as the platform matures.
The timeline is significant: pilot deployments beginning by the end of 2026 give telecom operators less than two years to test the platform in real-world conditions before full commercial deployment in 2027. Nvidia CEO Jensen Huang's characterization of this as "a generational shift" reflects the potential scale of the change—transforming radio networks from static infrastructure into dynamic, AI-driven systems capable of adapting to traffic patterns in real time. The body indicates this foundation may also enable future 6G services, suggesting the platform is positioned not just for near-term efficiency gains but as infrastructure for the next generation of wireless technology.
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