Nokia, Nvidia, and Telcos Collaborate to Accelerate AI-RAN Development: MWC25

Nokia, Nvidia, and Telcos Collaborate to Accelerate AI-RAN Development: MWC25

Nokia and its industry partners—KDDI, SoftBank, T-Mobile US, and Nvidia—outlined advancements in the deployment and optimisation of AI-powered Radio Access Networks (AI-RAN) as well as the future architecture for AI-RAN at the Mobile World Congress 2025. According to Nokia, these developments aim to integrate artificial intelligence (AI) into RAN infrastructure, unlocking new monetization opportunities for communication service providers (CSPs) for developing platform-as-a-service (PaaS) business models.

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AI-RAN and Monetization Opportunities

Nokia says that under its anyRAN approach, the company is focusing on transforming Cloud RAN solutions to include AI computing in the shared infrastructure to maximize resource efficiency for operators. These joint efforts will lay the foundation for developing Platform-as-a-Service (PaaS) models, allowing CSPs to offer scalable AI-based solutions.

To accelerate AI-RAN development, Nokia is establishing an AI-RAN Center in Dallas, where partners can test AI solutions in real-world network conditions. The center will support the creation of innovative use cases and validate AI-RAN reference architectures.

Nokia and Nvidia

Over the past year, Nokia said it has worked closely with Nvidia to assess and evaluate multi-purpose Nvidia accelerated computing infrastructure to enable the transformative power of AI-RAN.

Nokia and KDDI

Nokia said it has also formed a strategic partnership with KDDI to research the practical applications of AI-RAN, including use cases and architectures, to make it commercially viable in the future. The companies will explore how AI applications can enhance the user experience, enhance network quality, reduce 5G network-related costs and power consumption through automation, and create monetization opportunities that leverage GPUs and Generative AI. The companies will conduct a commercial trial using AI-enabled RAN hardware and research AI utilization to optimize network performance.