Nokia has unveiled its AI-RAN platform in partnership with Nvidia, promising to more than double spectral efficiency by 2028. The platform, based on Nokia’s anyRAN software and Nvidia’s Aerial AI-RAN, will be available for pilot deployments in late 2026 and general release in 2027. Nokia claims it has already demonstrated over 20% spectral efficiency gains through AI-driven radio innovations, targeting 50% by launch and over 100% by 2028. The product is offered via subscription-based software upgrades, marking a shift from traditional hardware-centric models.
Three Deployment Paths for Operators
Nokia offers three deployment models: adding an accelerator card to existing AirScale systems for current customers, deploying a standalone GPU-powered AI-RAN node supporting 4G, 5G, and future 6G, or using commercial off-the-shelf (COTS) servers for a cloud-native approach. All options are fully ORAN compliant. The standalone node can be used as a single base station, clustered, or integrated with existing AirScale equipment. This flexibility aims to cater to operators at different stages of network evolution.
Why It Matters: A Generational Shift in RAN
Nokia CEO Justin Hotard called AI-RAN “the biggest innovation in radio in decades,” while Nvidia CEO Jensen Huang declared that “telecoms is entering the AI era.” The promise of over 100% spectral efficiency means operators could double capacity without new spectrum, potentially reducing infrastructure costs. However, analysts like Omdia’s Rémy Pascal caution that AI-RAN is likely to optimize existing networks rather than expand the RAN market. This suggests the technology may improve efficiency without driving significant new spending.
Our Analysis: Optimization Over Growth
XPLAIN AI interprets this announcement as a double-edged sword. While AI-RAN enhances network performance, it may limit equipment vendors’ revenue growth by reducing the need for costly hardware upgrades. The shift to subscription-based software could erode traditional upgrade cycles. However, Nvidia benefits from integrating its GPUs into the RAN architecture, opening a new revenue stream. Nokia strengthens its competitive position against rivals like Ericsson and Huawei. Marvell gains as a baseband silicon partner in Nokia’s ecosystem. Operators may see lower long-term costs but face transition expenses for existing AirScale investments.
Winners and Losers
- Potential beneficiaries: Nvidia (GPU integration into RAN), Nokia (technology leadership), Marvell (ecosystem partner for baseband silicon).
- Potential risks: Ericsson and Huawei (lagging in AI-RAN), operators with heavy AirScale investments (transition costs), and open RAN vendors like Samsung or Rakuten (competitive pressure but potential collaboration).
Uncertainties and Counter-Scenarios
Success is not guaranteed. Carrier-grade performance for time-sensitive RAN workloads on GPU-based systems remains unproven. Operators may resist subscription models or prefer traditional hardware upgrades. If adoption is slow, Nokia’s 100% efficiency target by 2028 may be delayed. XPLAIN AI believes the technology could disrupt the market if targets are met, but initial deployments may be limited to trials. Key indicators to watch include operator pilot announcements, performance benchmarks, and subscription uptake rates.
#AI-RAN #Nokia #Nvidia #TelecomEquipment #SpectralEfficiency #OpenRAN #6G #GPUAcceleration
Sources
- Nokia preps AI-RAN in 2027, promises 100% spectral gain in 2028 – but will operators buy it? — RCR Wireless · News coverage · Wed, 15 Jul 2026 14:59:25 +0000
Written by: XPLAIN AI Editorial Team · Reviewed by: XPLAIN AI Editorial Desk
This content was drafted with AI assistance based on publicly available sources and reviewed under XPLAIN AI's editorial standards.