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MWC26: Nokia and NVIDIA Advance Blueprint for a Distributed AI Factory
03/06/2026
Key Highlights
- The Nokia NVIDIA alliance is evolving the mobile base station from a data utility into a revenue-generating AI factory enabling operators to monetize spare compute capacity by hosting third-party AI services.
- Successful global trials with major carriers like T-Mobile U.S., SoftBank, and Indosat have validated that GPU-accelerated architecture can concurrently manage high-performance 5G radio functions and intensive generative AI workloads.
- By adopting NVIDIA’s general-purpose GPU roadmap (including Blackwell and Grace Hopper), Nokia is offloading massive R&D costs associated with proprietary chip development to focus on specialized software and radio intelligence.
- This partnership positions Nokia as the leading trusted alternative to vertically integrated rivals like Huawei, while simultaneously silencing Open RAN skeptics by matching the performance of purpose-built hardware.
- To expand ecosystem-wide mind share, the partners are expanding their vendor ecosystem and the AI-RAN Alliance to create a standardized Network-as-Code marketplace, laying a programmable, software-defined foundation for the 6G era.
The News
Nokia announced progress in its strategic AI-RAN partnership with NVIDIA, including new customer integrations, successful functional tests of GPU-accelerated AI-RAN and a series of demonstrations at Mobile World Congress 2026. This collaboration underscores the transformative potential of AI-driven radio access networks (RAN) in advancing 5G capabilities and laying the foundation for AI-native 6G. Building on the strategic partnership announced last year, Nokia and NVIDIA are working with operators, including BT, Elisa, NTT DOCOMO and Vodafone Group to adopt AI-RAN technologies that enhance network performance and support the explosive growth in mobile AI traffic. For more information, read the Nokia press release.
Analyst Take
At MWC 2026, Nokia and NVIDIA signaled a major leap forward in their joint mission to redefine mobile infrastructure through GPU-accelerated AI-RAN. By showcasing successful functional testing and live demonstrations, the partners illustrated how moving toward AI-driven radio access networks is essential for scaling 5G and architecting the AI-native 6G future. This momentum is backed by a powerhouse lineup of global operators, including Vodafone, BT, NTT DOCOMO, and Elisa, who are now integrating these technologies to optimize network efficiency and manage the surging demands of mobile AI data.
Nokia has successfully transitioned AI-RAN from theory to functional reality through a series of high-profile global trials that validate the scalability of GPU-accelerated network architecture. In collaboration with T-Mobile U.S., Nokia demonstrated the ability to run concurrent Massive MIMO radio functions and heavy AI workloads, such as generative AI and video captioning, on a single NVIDIA Grace Hopper 200 server.
This momentum extended to Southeast Asia, where Indosat (IOH) achieved the region’s first AI-powered 5G call using cloud-native software accelerated by NVIDIA GPUs, while SoftBank showcased a sophisticated orchestration of spare compute capacity to host third-party AI services. Collectively, these milestones prove that shared GPU infrastructure can turn the traditional radio access network into a versatile, sustainable AI platform capable of driving both superior user experiences and new monetization streams.
Nokia is accelerating the commercialization of AI-RAN by expanding its vendor ecosystem to include hardware leaders such as Quanta (QCT) and SuperMicro, alongside established partners like Dell Technologies and Red Hat. By leveraging the Red Hat OpenShift cloud-native platform and NVIDIA RTX PRO Blackwell GPUs, Nokia is providing operators with a diverse range of energy-efficient, COTS-based (commercial off-the-shelf) infrastructure options.
A key highlight is the QuantaEdge EGN77C-2U server, which integrates NVIDIA Grace CPUs and Blackwell GPUs to offer a compact, software-defined edge solution. This modular anyRAN approach is designed to enable telecommunications providers to evolve their existing 5G deployments into high-performance, AI-native 6G networks while maintaining the flexibility to run both RAN and third-party AI workloads on a unified, hybrid cloud architecture.
Beyond Connectivity: How Nokia and NVIDIA are Redefining the Economics of RAN
Beyond the technical integration, Nokia’s deepened alliance with NVIDIA at MWC 2026 represents a calculated move to solve critical business challenges including market differentiation, financial stagnation, and the persistent battle against vendor lock-in. By shifting toward NVIDIA’s GPU-accelerated architecture, Nokia is effectively breaking the utility trap that has historically characterized telecom vendors as providers of expensive, specialized black box hardware.
This transition transforms the base station from a cost center dedicated to moving data into a revenue-generating edge cloud. Consequently, Nokia can now offer operators a new value proposition: the ability to monetize spare network processing power by renting it to third-party AI developers, shifting Nokia’s own role from a hardware seller to a platform orchestrator.
This alliance also marks a strategic pivot away from the high-risk development of proprietary silicon. While rivals like Ericsson have doubled down on custom-built compute chips to maintain performance, Nokia is betting that general-purpose GPU power will evolve at a much faster rate. By hitching its roadmap to NVIDIA’s Blackwell and Grace Hopper release cycles, Nokia offloads the massive R&D costs associated with chip development. This enables the company to refocus its resources on its core strengths, the complex software and radio intelligence required to ensure network reliability, while benefiting from the rapid innovation of the broader AI hardware industry.
From our perspective, the partnership serves as a vital tool for combatting market erosion in regions like China, where geopolitical tensions have caused market shares to plummet. The close alignment with NVIDIA and major U.S. players like T-Mobile positions Nokia as the primary trusted alternative to Huawei as well as others such as Ericsson and Samsung. This collaboration is as much about geopolitical strategy as it is about technology, as it helps create a unified AI-RAN ecosystem capable of exceeding the massive scale and vertical integration of key rival Huawei.
The collaboration provides a direct response to longstanding skepticism regarding Open RAN. Critics have often argued that generic servers lack the power to handle the heavy computational lifting required for 5G radio. By utilizing NVIDIA’s inline acceleration to perform complex mathematical tasks on the GPU rather than the CPU, Nokia has demonstrated that cloud-based RAN can finally match the performance of traditional, purpose-built gear. This breakthrough enables Nokia to fully embrace the industry's shift toward openness without sacrificing the high-speed performance demanded by its top-tier global customers.
Beyond the technical milestones, we see that NVIDIA’s decision to advance its alliance with Nokia is a strategic move to secure its prominence at the edge of the global AI grid before the 6G standardization cycle even begins. By investing $1 billion into Nokia and deeply integrating its Aerial platform into Nokia’s anyRAN software, NVIDIA is essentially bypassing the traditional slow-moving telecom hardware cycle to turn millions of cell sites into high-performance AI data centers.
This partnership can enable NVIDIA to prove that its GPUs can manage the un-programmable complexity of radio signals more efficiently than the custom chips (ASICs) used by rivals like Ericsson, while simultaneously creating a massive, distributed footprint for Agentic AI services. For NVIDIA, Nokia is a well-suited vehicle to transform the telecommunications industry from a utility that carries data into a distributed AI factory where NVIDIA silicon is the indispensable engine for both connectivity and intelligence.
Looking Ahead
We believe the success of the Nokia and NVIDIA partnership over the next year is anchored by three strategic drivers that transition their collaboration from experimental stages to market-ready solutions. By moving from theoretical lab tests to successful over-the-air field trials with major operators such as T-Mobile U.S. and SoftBank, the partners have proven that GPU-accelerated networks can handle massive 5G traffic while simultaneously processing heavy generative AI workloads. This validated commercial readiness demonstrates that AI-RAN is no longer a future concept but a functional architecture capable of meeting today's demanding and evolving network requirements.
To further boost their ecosystem influence over the next year, Nokia and NVIDIA must transition the AI-RAN Alliance from a collaborative testing group into an influential marketplace for Network-as-Code developers. By integrating Nokia’s API-driven monetization platforms with NVIDIA’s CUDA-accelerated Aerial framework, they can create a standardized environment where third-party AI developers can build agentic applications, such as real-time industrial robotics control or automated network slicing, that run directly on the cell tower.
Expanding the Alliance beyond its current 130+ members to include more enterprise hyperscalers and specialized AI startups will be critical; this creates a flywheel effect where a larger pool of developers attracts more operators looking to monetize their underutilized GPU capacity. Ultimately, their influence will hinge on successfully launching the first commercial trials by late 2026, proving to the global market that their open, GPU-native stack is not just a high-performance alternative to proprietary silicon, but the essential foundation for a programmable, revenue-generating 6G grid.
Ron Westfall | VP and Practice Leader for Infrastructure and Networking
Ron Westfall is a prominent analyst figure in technology and business transformation. Recognized as a Top 20 Analyst by AR Insights and a Tech Target contributor, his insights are featured in major media such as CNBC, Schwab Network, and NMG Media.
His expertise covers transformative fields such as Hybrid Cloud, AI Networking, Security Infrastructure, Edge Cloud Computing, Wireline/Wireless Connectivity, and 5G-IoT. Ron bridges the gap between C-suite strategic goals and the practical needs of end users and partners, driving technology ROI for leading organizations.