The collaboration is designed to meet the region's rapidly growing demand for secure and scalable AI computing, while advancing Indonesia's position as a regional AI hub. With a deployment target of 1 gigawatt (GW) of NVIDIA DSX AI Factory capacity, Zankore by Indosat lays the foundation for one of the region’s largest AI infrastructure platforms which will enable the next phase of agentic and enterprise AI adoption at scale.

Zankore by Indosat is building one of Southeast Asia’s largest AI factory platforms for the nation, using NVIDIA DSX, the reference architecture, platform and ecosystem playbook for designing and operating AI factories. DSX brings accelerated computing, networking, power, cooling and operations together as one system to maximize useful AI output from every available megawatt. Zankore will deliver approximately 200 megawatts (MW) of AI capacity in the first half of 2027, powered by NVIDIA GB300 NVL72. The platform will also incorporate NVIDIA DSX MaxLPS, which dynamically optimizes power across the GPU fleet to recover stranded power and increase compute capacity within the available facility power envelope. MaxLPS is designed to enable up to 40% more compute within the same power budget, increasing Zankore’s capacity to serve customers and generate revenue.

This partnership brings together distinct expertise from each partner. Ooredoo Group provides long-term capital, and regional scale as lead investor and platform sponsor. Indosat brings trusted market leadership, digital infrastructure, and execution capabilities to accelerate AI adoption in Indonesia. NVIDIA powers the platform with accelerated computing, AI software, next-generation GPU access, and its global AI ecosystem, while Nokia delivers AI-native networking for secure, high-performance AI infrastructure. Together, the partners combine global technology with regional scale and local execution to accelerate AI innovation across Asia-Pacific.

To support its long-term growth, Zankore by Indosat has established the Board of Directors, bringing together representatives from its principal shareholders and independent leadership. The Board of Directors comprises Aziz Aluthman Fakhroo and Thomas Chevanne representing Ooredoo Group as lead investor, Vikram Sinha and Vishal Gupta representing Indosat Ooredoo Hutchison, and Arijit Ranjan Sarker as Independent Director, with Ulf Ewaldsson serving as Chief Executive Officer. Together, the Board of Directors and CEO provide strategic oversight, leadership, and governance as Zankore scales its AI infrastructure platform across Southeast Asia.

As AI reshapes industries and economies, Zankore by Indosat provides the integrated AI platform that Southeast Asia needs to compete in the AI era. Built for hyperscalers, enterprises, governments, and AI innovators, it enables the region to accelerate innovation and unlocks new opportunities for sustainable economic growth.

Citi acted as the exclusive financial advisor to Indosat on this transaction. FTI Capital Advisors acted as financial advisor to Ooredoo Group.

Built on Nokia’s AI-native network architecture and NVIDIA’s accelerated computing, Nokia’s AI-RAN platform delivers a step change in network performance and economics. The AI-RAN platform has already shown more than 20% spectral efficiency gains through AI-driven radio innovations. The company is on track to deliver 50% spectral gains by 2027 and more than 100% by 2028, helping telecommunication providers carry significantly more traffic in dense cells while reducing cost per bit and improving customer experience.

Through a new software subscription model, telecommunication providers can benefit from AI innovation, new features and performance enhancements without relying on hardware refresh cycles. Nokia’s AI-RAN solutions will enter pilot deployments at the end of this year and be commercially available in 2027, with a roadmap that leverages NVIDIA’s programmable merchant silicon platforms.

One AI-native platform. Three paths to adoption

Recognizing the diversity of telecommunication providers’ network strategies and installed RAN bases, Nokia’s AI-RAN platform is built on a common software-defined architecture powered by Nokia’s anyRAN software and NVIDIA’s accelerated computing. Supporting 4G, 5G and future network evolution, it provides three hardware platform options, including an expansion card for existing AirScale deployments and a Cloud RAN alternative. Fully compliant with Open RAN standards, the platform supports open, interoperable multi-vendor deployments while giving operators the flexibility to choose the hardware and cloud environments that best meet their needs. These hardware platform options allow telecommunication providers to modernize at their own pace while preserving existing infrastructure investments, benefiting from a common software roadmap and accelerating innovation at software speed. Telecommunication providers can adopt AI-RAN in stages using the approach that best matches their deployment strategy, capacity requirements and installed base.

Build on existing investments

For existing Nokia customers, Nokia is introducing the new GPU-powered AirScale capacity plug-in unit as the most efficient path forward. Designed for Nokia’s installed AirScale base, the solution integrates NVIDIA’s accelerated computing into existing network infrastructure, enabling a significant capacity step-change through a simple upgrade path while preserving existing network investments. This approach is also supported by AI-accelerated merchant silicon from Marvell as part of Nokia’s broader ecosystem approach to software-defined AI-RAN architectures. Telecommunication providers can introduce advanced AI capabilities, continuously improve performance through software and extend the value of deployed infrastructure.  

Scale AI-native capacity anywhere

For telecommunication providers seeking maximum deployment flexibility and performance, Nokia is introducing the industry’s first GPU-powered standalone AI-RAN node. It brings AI-accelerated RAN performance to any network environment and supports 4G, 5G and future 6G workloads on a common platform. The solution can be deployed as a standalone node, in clustered configurations or alongside AirScale as a single logical base station, providing operators with a highly flexible path to scale AI-native networks while preserving deployment choice.

Enabling cloud-native AI-RAN

For telecommunication providers embracing cloud-native architectures, Nokia is introducing GPU-powered AI-RAN COTS server solutions delivered through ecosystem partners. The platforms enable an open and secure supply chain while supporting deployment on industry-standard accelerated computing infrastructure, combining cloud-native flexibility with the performance requirements of AI-native radio networks. 

Innovation at software speed

Nokia’s AI-RAN marks a fundamental shift from hardware-defined radio networks to software-defined platforms that continuously improve through software and AI innovation. Through Nokia’s new subscription-based commercial model, telecommunication providers gain ongoing access to advanced AI algorithms, spectral efficiency enhancements, network optimization capabilities and future AI-native features that can be activated through software. This approach allows them to benefit from continuous innovation while maximizing long-term returns on infrastructure investments, enabling improved TCO and performance at no hardware premium. Rather than waiting for the next hardware cycle, networks can continuously enhance performance, efficiency, security and resilience as new capabilities become available.

By combining AI-accelerated computing, advanced AI algorithms and an open ecosystem approach, Nokia is helping telecommunication providers unlock greater capacity, stronger economics and continuous innovation while building the foundation for future network evolution.

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Press release: Nokia accelerates AI-RAN momentum with new partnerships driving path to AI-Native 6G  

Under the agreement, Nokia will deploy its latest AirScale portfolio, including next-generation baseband and radio solutions, alongside advanced software capabilities to enhance Taiwan Mobile’s existing network infrastructure and enable new 5G services and monetization opportunities. The partnership builds on the companies' shared vision of integrating artificial intelligence across mobile networks to create highly automated, resilient and energy-efficient networks capable of supporting the increasing AI traffic.

Driving AI across the network lifecycle

The deployment introduces a comprehensive set of AI-driven capabilities spanning network intelligence, infrastructure, sustainability and resilience:

• AI for Network (Intelligence): Nokia will introduce AI-powered software that enables real-time automation and predictive analytics, enhancing operational efficiency and enabling closed-loop network assurance. The agreement includes Predictive Hardware Analytics (PHWA) service and our self-organizing networks solution, MantaRay SON, which uses AI algorithms to automate operations and enhance performance.
• Network for AI (Infrastructure): Nokia’s next-generation baseband and advanced radio solutions will increase network capacity and uplink performance to meet the demands of new traffic profiles generated by AI applications while delivering superior user experiences.
• AI for Energy (Sustainability): Advanced AI-powered energy management algorithms will enable traffic-aware optimization and proactive power savings, helping Taiwan Mobile reduce energy consumption and meet its ESG targets.
• AI for GeoStrategy (Resilience): AI-enabled self-healing and traffic steering capabilities will strengthen network resilience, allowing the network to dynamically adapt to changing conditions and maintain service continuity, including in extreme scenarios.

Enabling automation, performance, and new services

The new deal will expand 5G capacity and optimize network performance through the deployment of advanced radios and next-generation baseband solutions. These upgrades will support enhanced throughput, improved spectrum efficiency and the delivery of premium user experiences. In parallel, the integration of AI-driven network management and automation solutions will enable predictive maintenance, reduce operational complexity and lower total cost of ownership while supporting the introduction of new 5G capabilities such as slicing and RedCap.

Supporting sustainability and long-term network evolution

Nokia’s energy-efficient hardware combined with AI-driven software will help Taiwan Mobile reduce power consumption and enable more sustainable network operations. This supports the operator’s ambition to build a low-carbon, high-efficiency network while improving overall operational performance.

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Today, less than two percent of global semiconductor ATP takes place in the U.S. Nokia’s Allentown facility is one of only a few in the U.S. providing ATP of photonic chips into optical modules for use in AI and telecom infrastructure. Through investment in new manufacturing equipment and an expanded manufacturing footprint, Nokia is increasing the site’s production capacity by up to 10 times its current level, with new capacity expected to be commercially available by the end of the third quarter.

Nokia’s optical technologies provide advanced connectivity solutions for telecom networks to enable AI infrastructure and can reduce energy usage by as much as 75 percent. Nokia’s investment results in the domestic manufacturing of components used in AI infrastructure, creates new jobs, and significantly reduces energy usage in AI communications.

“The AI supercycle is fundamentally reshaping network and infrastructure requirements in the U.S. and globally. Our expansion in Allentown is a direct investment in that future—scaling domestic manufacturing of the optical networking technologies that power AI infrastructure. It also reflects the strong partnership between Nokia, the United States, and the Commonwealth of Pennsylvania to support advanced manufacturing, create jobs, and strengthen U.S. technology leadership and global competitiveness,” said Justin Hotard, President and CEO of Nokia.

“Nokia is doubling down on the Lehigh Valley and ensuring that the future of chip production continues to run through this region because we’ve made smart investments to make Pennsylvania more competitive and proven that our Commonwealth is a great place to do business,” said Governor Shapiro. “As demand for semiconductors continues to grow across industries, we’ll continue to position Pennsylvania as a leader in innovation, with a supportive, thriving business climate that helps companies compete on a global scale. From advanced manufacturing to the research and development of new technology like advanced chip packaging, Pennsylvania has all the resources to be a world leader in chip production.”

“This is great news for Pennsylvania. Nokia is doubling its local workforce to more than 500 good-paying jobs in engineering, manufacturing, and R&D, all while expanding our ability to domestically produce the critical technologies that power AI infrastructure. This matters for both our economy and our national security,” said Senator Dave McCormick. “These technologies also help cut energy use in AI communications, showing that we can lead on innovation while also smartly managing our resources at the same time.”

“Nokia’s investment in Pennsylvania is directly advancing America’s AI leadership,” said Bill Frauenhofer, Executive Director of Semiconductor Investment and Innovation at the Department of Commerce. “Supported by CHIPS and Science Act funding, Nokia is deepening its commitment to innovation and the production of photonic chips in the United States. This project enables critical optical technology and strengthens America’s semiconductor supply chain.”

“Nokia’s latest investment is further proof that the Lehigh Valley is becoming a world leader in advanced manufacturing,” said U.S. Congressman Ryan Mackenzie. “With the help of our unparalleled, highly-skilled workforce, Nokia’s local expansion will help our region continue to drive innovation and build the tools behind next-generation technologies. Congratulations to Nokia and the hundreds of local workers who will benefit from this investment.”

The investment includes approximately $30 million from Nokia, which includes bipartisan support of approximately $4 million in assistance from the state of Pennsylvania and approximately $10 million in federal CHIPS investment tax credit. This expansion is part of Nokia's multi-year plan to invest $4 billion in R&D and manufacturing in the U.S. for AI-ready network connectivity. It is designed to bolster domestic supply chains for critical communications infrastructure, reinforce U.S. leadership in the technologies shaping the global AI economy and solidify Pennsylvania’s growing role as a hub for advanced manufacturing, telecommunications technology and AI infrastructure.

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More than a network upgrade, this collaboration reflects a shared ambition to bring customers closer to the digital experiences that matter most to them, from immersive entertainment and gaming to more reliable connectivity for work, learning, communication, and everyday digital activities. A stronger and more flexible network foundation will enable Indosat to serve customers better by anticipating their evolving digital needs while creating experiences that are more meaningful.

The deployment will enhance network capacity, performance, and coverage across Indonesia, while supporting Indosat’s long-term ambition to expand digital access more inclusively nationwide. The upgraded network will also enable advanced consumer and enterprise use cases across key sectors, including public services, industry, and digital services.

Unlocking AI-enabled services with NVIDIA

These joint activities will not only connect Indonesia but also build the digital infrastructure for the country’s next phase of growth. This agreement reflects a shared mission to turn connectivity into a platform for intelligence. AI-RAN provides the common architecture for combining connectivity and intelligence, and Nokia’s roadmap is built on that foundation with NVIDIA. With Nokia and NVIDIA already working with Indosat on AI-RAN, the companies are on track for the next milestone: moving from the first AI-RAN call completed at Mobile World Congress 2026 to field trials in Indonesia by the end of 2026. The collaboration will also support Nokia’s work on new AI algorithms designed to improve spectral efficiency on NVIDIA AI-RAN platforms, with those capabilities expected to be part of the upcoming field trials.

By combining its centralized AI factories and distributed AI-RAN infrastructure, Indosat is advancing its AI grid, creating a unified intelligence layer that distributes both AI and connectivity to millions of Indonesians while helping drive economic growth. Grounded in local AI innovation, the model is already accelerating practical applications in government services, healthcare, education, and agriculture, supported by the AI-RAN Innovation Center in Surabaya and the NVIDIA AI Technology Center ecosystem.

As part of the agreement, Nokia will deploy its latest Habrok and Pandion radio families, Levante basebands, Centralized RAN and advanced network management and automation platforms, enabling intelligent operations, improved energy efficiency and faster service innovation. Low‑band 5G will be introduced across the full network footprint, with mid‑band 5G covering approximately 80% of the network over the next three and a half years. AI-driven automation and energy-efficient technologies will improve operational efficiency and support a more sustainable and responsible approach to digital transformation, ensuring that technological advancement delivers real impact for businesses and the millions of Indonesians who rely on connectivity every day.

Nokia, Indosat and NVIDIA are demonstrating how 5G and AI can be delivered together to support digital inclusion across Indonesia’s diverse geography. This 5G expansion project provides the connectivity foundation for an AI Grid, while the AI-RAN roadmap creates a practical path to bring AI workloads closer to the network, to deliver new value for enterprises, public services and empower every Indonesian.

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Whitepaper: The value creating fusion of AI and RAN

Press Release: Nokia accelerates AI-RAN momentum with new partnerships driving path to AI-Native 6G 

AI workloads are fundamentally changing how data center networks must operate. The performance, scale, and precision required to support large-scale AI training and distributed, real-time inference place unprecedented demands on networking infrastructure. To address these challenges, Nokia is adopting a new approach to how technologies are integrated, tested, and deployed from the ground up for the AI era.

The AI Networking Innovation Lab provides an environment where emerging commercial technologies can be developed and validated. Within the lab, Nokia brings together advanced AI networking protocols, cutting-edge switching silicon and hardware platforms, and new architectural concepts designed specifically for AI-driven data centers. These technologies are tested and accelerated in close collaboration with a global ecosystem of partners.

The AI Networking Innovation Lab is built upon three fundamental pillars: Technology Innovation, Ecosystem Collaboration, and Validation.

Technology Innovation: The lab provides a dedicated space for AI partners to experiment with next-gen solutions across the entire networking stack – driving emerging standards forward with pioneering approaches to new protocols, switching silicon, congestion control, real-time telemetry, and automation.

Ecosystem Collaboration: True progress depends on a strong ecosystem of technology providers – silicon manufacturers, GPU developers, system, storage and test vendors, and cloud platforms – that work together to create highly-compatible AI-ready solutions. This facilitates joint testing for interoperability, improves integration, and ensures roadmaps are aligned across different hardware, software, and orchestration layers.

Validation: This positions the lab as the testing ground for Nokia Validated Designs, where customers and partners rigorously validate multi-vendor data center architectures under authentic AI training and inference workloads. By testing failure scenarios, congestion behavior, and operational automation, the lab turns NVDs into proven, deployable solutions — enabling predictable performance, faster deployment, and reduced operational complexity and risk for organizations navigating the AI era.

The AI Networking Innovation Lab supports Nokia’s broader strategy to accelerate the next era of AI-driven connectivity. As demand for AI infrastructure continues to grow, data center networking has become one of the most critical foundations of the global AI ecosystem. Through this investment, Nokia is strengthening its capabilities in AI and cloud infrastructure while advancing its vision of AI-native networking.

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Press Release: Nokia strengthens leadership in AI-ready data center networks with successful end-to-end Ultra Ethernet test across data center switch family

The telecom industry is set to invest $6.2 billion in agentic AI by 2030. Agentic AI systems capable of autonomous reasoning and decision-making will be a key driver of the cognitive broadband era, enabling networks to move beyond basic connectivity toward self-optimizing, AI-driven infrastructures.

Nokia embeds AI agents and natural language interaction across its Altiplano, Corteca, and Broadband Easy platforms, enabling telecom providers to modernize operations and reduce costs. Operators can resolve problems proactively, scale operations without adding headcount, and diagnose network issues using automated root cause analysis. The AI agents will make an immediate and tangible difference for operators, including lifting first-contact helpdesk resolution rates above 50%, network incident qualification within 5 minutes, and a 50% reduction in return visits to construction sites and connected homes.

Underpinning this is an open and secure approach that integrates AI agents, live data, and external services while ensuring compliance, data sovereignty, and vendor independence. Operators retain full control and can work with an LLM that best fits the specific use case, use their own interfaces, or connect data sources as they scale AI across their business.

Nokia's new AI capabilities span the full broadband network lifecycle. They increase productivity across customer care, network engineering & operations and field force teams, while boosting end-user experience:

• An AI assistant with a conversational interface gives technicians and support teams instant access to product knowledge, accelerating training and day-to-day problem solving.
• AI-powered text, voice, and image guidance assists field technicians during surveys and installations, and computer vision technology helps validate the quality of work done and build a live digital twin of the FTTH network.
• Automated diagnostics detect degradations and prevent outages; giving frontline support teams more operational precision and analytical depth.
• A troubleshooting agent improves root cause analysis and speeds up remediation across home and access networks, and uses advanced reasoning to pinpoint faults faster, reduce ticket volume, and increase first-call resolution rates.

Resources and additional information:

Product Page: Fixed Networks Cognitive Broadband

The transaction includes plans for joint go-to-market initiatives between the two companies in 6G and wireless edge to capture the opportunities in AI and to further advance the FWA business. The collaboration will also explore joint innovation and carrier 5G monetization opportunities, as well as consumer and enterprise growth opportunities at the wireless edge. These efforts are expected to support and drive customer continuity, future revenue growth, and technology leadership at the wireless edge.

Under the agreement, at the closing of the transaction, Nokia will receive approximately a 7% equity stake in Inseego in the form of common stock and warrants, representing a value of US$20 million. At the close of the agreement, Nokia will make an additional $10 million investment in Inseego in the form of common stock and warrants, to further strengthen the commercial collaboration, that will bring its total ownership interest to approximately 11%.

The transaction is expected to close in Q4 2026, subject to certain terms and conditions. The agreement is not financially material to Nokia. Nokia will conduct consultations with works council or other employee representative bodies where applicable. Nokia and Inseego will work closely together to ensure seamless continuity for customers through a carefully managed transition, with a strong focus on service, support, management, and staff continuity.

Advisors 

Perella Weinberg Partners served as financial advisor to Nokia. 

Cautionary Note Regarding Forward-Looking Statements

Certain statements contained in this communication may be characterized as forward-looking under the Private Securities Litigation Reform Act of 1995. These statements involve a number of risks, uncertainties and other factors that could cause actual results to differ materially.

Statements in this communication that are forward-looking may include statements regarding: (1) the transaction between Nokia and Inseego (the “Transaction”); (2) the expected timing of the closing of the Transaction;  (3) the anticipated benefits to, or impact of, the Transaction on Nokia’s and Inseego’s businesses; (4) expectations for Nokia and Inseego following the closing of the Transaction, including the effect of the Transaction on Inseego’s revenues; and; and (5) any statements preceded by or including “continue”, “expect”, “will”, “may”, or similar expressions. These forward-looking statements are subject to a number of risks and uncertainties, many of which are beyond Nokia’s and Inseego’s control, and are based on management’s best assumptions and beliefs in light of the information currently available to them.

Risks and uncertainties that could cause actual results to differ materially from those indicated in the forward-looking statements include: (1) the possibility that the conditions to the closing of the Transaction are not satisfied, including the risk that required regulatory approvals to consummate the Transaction are not obtained, on a timely basis or at all; (2) the occurrence of any event, change or other circumstance that could give rise to a right to terminate the Transaction; (3) possible disruption related to the Transaction to the current plans, operations and business relationships of Nokia, including the FWA-CPE business and Inseego, including through the loss of customers and employees; (4) the amount of the costs, fees, expenses and other charges incurred by Nokia and Inseego related to the Transaction; (5) the possibility that the stock price of Inseego could fluctuate during the pendency of the Transaction and may decline if the Transaction is not completed; (6) for Inseego, the possible diversion of management’s time and attention from ongoing business operations and opportunities; (7) the response of competitors and other market participants to the Transaction; (8) potential litigation relating to the Transaction; (9) uncertainty as to the timing of completion of the Transaction and the ability of each party to consummate the Transaction; and (10) the other risks and uncertainties detailed in the periodic reports that Nokia and Inseego file with the SEC. All forward-looking statements in this communication are based on information available to Nokia and Inseego as of the date of this communication, and, except as required by law, neither Nokia nor Inseego assumes any obligation to update the forward-looking statements provided to reflect events that occur or circumstances that exist after the date on which they were made.

Through a structured co‑innovation framework, Nokia and Orange will jointly identify, design and evaluate new AI‑RAN capabilities. The collaboration aims to explore how a GPU-based radio processor can boost radio performance with more advanced receivers, and how AI can be tightly integrated into the RAN to further improve performance, support new services such as sensing, and bring greater automation and intelligence to both cloud-based and purpose‑built RAN environments.

As mobile networks evolve towards 6G, Nokia and Orange will co‑develop approaches to maximize the spectral efficiency of existing and future bands, including the upper 6 GHz band. The 6G-ready platform will enable a smooth, software-defined migration to 6G and support smarter use of compute resources across Orange’s operational footprint.

By working with Nokia and NVIDIA, Orange aims to deepen its understanding of how AI-enabled RAN functions can be integrated seamlessly into operational networks while ensuring sustainability and efficient resource utilization across Europe, the Middle East and Africa.

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Traditional OOBM architectures depend on dedicated per-rack switches, adding unnecessary complexity while increasing power and cooling demands. As data centers scale, finding new ways to simplify operations and reduce costs become critical.

Nokia’s Aurelis solution for Data Centers provides a simpler, more efficient and cost effective OOBM architecture. The PON optical switch with six nines availability can connect and manage thousands of endpoints from a single platform, significantly reducing the number of switches and power required. With zero touch provisioning, the solution is easy to install and comes with plug-and-play optical modems that can be remotely managed. AI-enabled proactive troubleshooting and automated operations also reduce manual work and minimize on-site visits. 

Nokia’s Aurelis solution includes:

• Aurelis MF-2 Optical Switch (OLT): a central switch that connects thousands of devices in point-to-multipoint architecture.

• Aurelis Optical Modems (ONT): stateless devices that terminate fiber and convert signal into Ethernet ports. The ONTs can be managed remotely and are typically top-of-rack  mounted to save space.

• Aurelis Command Center (CC): a mature management solution with intent-based capabilities for simplified operations that is designed to interface with data center controller and automation systems.

Resources and additional information:

Product Page: Nokia PON-based out-of-band management 

The collaboration between Nokia and Telia builds on the transformative potential of AI-RAN in advancing the capabilities of today’s 5G networks. With a clear focus on exploring commercial use cases, the companies will conceptualize and test AI-enabled systems for different industries, including mission critical.

AI-RAN at MWC26
At MWC26, Nokia’s booth 3B20 in Hall 3 features multiple live demonstrations of AI-RAN technologies, highlighting their role in enabling cognitive, software-defined radio systems. This includes Vision AI with reasoning capabilities from Vaidio, a delivery robot from ServeRobotics that can transform retail and the use of the radio network itself as a sensor for the physical world. There will be a demonstration of how spare GPU capacity in the distributed AI‑RAN network can be monetized by offering AI compute to external customers. Nokia’s demonstrations also showcase how AI-RAN can optimize network operations, improve energy efficiency and support new AI-driven applications.

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Press Release: Nokia accelerates AI-RAN momentum with new partnerships driving path to AI-Native 6G #MWC26

The agreement will offer advanced connectivity by enhancing network performance and efficiency, improving user experience, reducing environmental impact, and enabling TIM Brasil to deploy future AI-driven Radio Access Network (RAN) capabilities. This solidifies TIM Brasil’s position as a leader in Brazil’s digital transformation.

Under the agreement, Nokia will support TIM Brasil’s 5G network by deploying its latest generation of energy-efficient and AI-RAN-ready AirScale portfolio, including Habrok Massive MIMO radios, Pandion Remote Radio Heads, AirScale Radio small cell solutions, and comprehensive services for deployment, optimization and support. These solutions will ensure comprehensive coverage, seamless indoor connectivity, and enhanced scalability while driving sustainability goals through reduced energy consumption

TIM Brasil will also implement Nokia’s MantaRay SON (Self-Organized Network), a market-leading solution designed to automate routine operations, improve network quality, and reduce operational costs. By leveraging AI and analytics, MantaRay SON enables TIM to manage the increasing complexity of 5G networks while delivering a superior customer experience.

The modernization will impact key regions, including Belo Horizonte, Brasília, Goiânia, Manaus, Belém, and São Luís, among others, ensuring faster, more reliable, and efficient 5G connectivity. Nokia’s solutions will also prepare TIM Brasil’s network for future advancements, including 5G Advanced, 6G, and advanced AI-driven services, supporting the company’s ambition to drive industrial transformation and bridge the digital divide across Brazil.

Nokia and TIM Brasil will also strengthen their collaboration by jointly exploring the development of transformative AI use cases, including intelligent slicing, image/video analysis and recognition, voice recognition, and threat detection, thereby enhancing their B2B offerings for verticals such as Mining, Agribusiness, manufacturing, logistics, and transport. This initiative will leverage Nokia's AI-RAN solution, which significantly extends its capabilities beyond GPU-accelerated RAN functions to encompass these advanced AI use cases, directly benefiting from the Nokia-NVIDIA AI-RAN partnership announced last year.

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Supporting Deutsche Telekom’s Open RAN Strategy

Nokia and Deutsche Telekom are increasing cooperation on Open Fronthaul (OFH) integration, building on earlier success linking Nokia baseband units with third-party O-RAN‑compliant radio units in Germany. Additional multivendor integrations for OFH and Cloud RAN are underway within confidential development programs. Open Fronthaul adoption, cloudified baseband and network softwarization remain key components of Deutsche Telekom’s O‑RAN strategy. A vendor-independent Service Management and Orchestration (SMO) platform is another critical pillar, enabling centralized control across multivendor RAN environments.

Both companies are also advancing O-RAN-aligned management capabilities through open O1 interfaces, expanding work into configuration management and additional functions that support long-term vendor-agnostic operations. Seamless integration into Deutsche Telekom’s in-house SMO platform continues to shape the operator’s vision for flexible and future-ready network management.

Strategic Collaboration on AI‑Native RAN

Nokia will collaborate with Deutsche Telekom as its strategic co-creation partner for AI‑native RAN (AI-RAN) development. The joint initiative aims to accelerate the introduction of intelligent and autonomous RAN functions across cloud, edge and radio domains. Areas of focus include:

• Developing high‑impact AI‑native RAN use cases, such as AI-powered receivers, channel estimation and prediction, adaptive beamforming and predictive network optimization. These capabilities are expected to enhance spectral efficiency, user experience and network automation.

• Validating AI technologies in lab and live environments, with proof‑of‑concept trials planned at Deutsche Telekom Labs and in the field to evaluate AI‑for‑RAN performance under real-world conditions.

• Establishing open, disaggregated AI‑native RAN architectures, ensuring AI is consistently embedded across network layers using standards-aligned, interoperable interfaces.

Building the Next Generation of Mobile Networks

The expanded partnership is designed to deliver a new generation of high-performance, programmable and AI-powered mobile networks that are simpler to operate, faster to adapt, and better optimized for future connectivity demands.

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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 leading 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.

AI-RAN technology readiness

In collaboration with key customers, Nokia has completed functional tests of its AI and RAN workloads on NVIDIA’s GPU-accelerated AI-RAN platform, showcasing the scalability and efficiency of AI-powered RAN solutions. These tests validate the readiness of AI-RAN for real-world deployments and its ability to deliver enhanced user experiences and unlock new monetization opportunities through advanced AI services. Key customer developments include:

T-Mobile U.S.

• Nokia, T-Mobile U.S., and NVIDIA have successfully tested GPU-accelerated AI-RAN workloads at T-Mobile’s AI-RAN Innovation Centre at its Seattle headquarters. In T-Mobile’s over-the-air (OTA) lab environment, Nokia’s AirScale Massive MIMO radio operating in the 3.7 GHz (n77) band supported user equipment (UEs) running use cases such as video streaming, generative AI queries, and AI-based video captioning. The trial demonstrated concurrent AI and RAN processing on a single NVIDIA Grace Hopper 200 server using accelerated AI-RAN workloads, highlighting the ability to combine advanced radio access network functions with AI applications on a shared accelerated computing platform.

Indosat (IOH)

• Nokia and Indosat Ooredoo Hutchison (IOH) achieved Southeast Asia’s first AI RAN–powered Layer 3 5G call at MWC. The call used IOH’s open, cloud native network with Nokia’s AirScale remote radio heads (RRHs) and RAN software accelerated by NVIDIA GPUs. This milestone proves that AI and RAN workloads can run simultaneously on shared GPU infrastructure in a live operator environment, paving the way for distributed AI intelligence that makes 5G networks more efficient and intelligent and sustainable.

SoftBank Corp.

• Nokia and SoftBank Corp. (SoftBank) demonstrated how spare AI-RAN compute capacity, identified by SoftBank’s AITRAS Orchestrator, can be used to run third-party AI tasks. This integration marks a key step in transforming the RAN into an AI-enabled platform capable of delivering new AI services and revenue streams beyond connectivity, running external AI workloads on AI-RAN in line with the AI-RAN Alliance’s architectural guidance.

Expanding AI-RAN Ecosystem

Nokia has also expanded its ecosystem of AI-RAN partners, who are building the servers and infrastructure for AI-RAN. This includes Quanta and SuperMicro, who join Dell Technologies and build on Red Hat OpenShift for orchestration. The collaboration marks a significant step towards the commercialization of AI-RAN, enabling a wide range of COTS-based choices for telecom operators. By integrating AI into RAN solutions, Nokia and NVIDIA are driving innovation and commercialization at a global scale, enabling operators to lead the transformation of next-generation networks.

Nokia and NVIDIA are working with Red Hat to enable AI‑RAN technologies on a common cloud‑native platform, using Red Hat OpenShift and Red Hat AI Enterprise to scale NVIDIA-accelerated RAN and AI workloads across hybrid cloud environments and advance today’s 5G networks toward AI‑native 6G. Complementing this, QCT’s QuantaEdge EGN77C‑2U, built on the NVIDIA Aerial RAN Computer Pro platform and powered by NVIDIA RTX PRO Blackwell GPUs, the NVIDIA Grace CPU, and high-performance networking, provides a compact, energy-efficient edge solution for inline GPU-accelerated RAN processing. Integrated with Nokia’s anyRAN approach, it offers operators a flexible, software-defined architecture for evolving from current 5G deployments to future AI‑RAN and 6G capabilities across both Cloud RAN and purpose-built RAN environments.

AI-RAN at MWC26

At MWC26, Nokia’s booth 3B20 in Hall 3 will feature multiple live demonstrations of AI-RAN technologies, highlighting their role in enabling cognitive, software-defined radio systems. This includes Vision AI with reasoning capabilities from Vaidio, a delivery robot from ServeRobotics that can transform retail and the use of the radio network itself as a sensor for the physical world. There will be a demonstration of how spare GPU capacity in the distributed AI‑RAN network can be monetized by offering AI compute to external customers. Nokia’s demonstrations also showcase how AI-RAN can optimize network operations, improve energy efficiency and support new AI-driven applications.

Multimedia, technical information, and related news

Webpage: AI-RAN

Webpage: AirScale Massive MIMO radios

Webpage: Nokia AirScale Baseband

Blogpost: NVIDIA: Software-defined AI

Supporting Quotes

BT Group

“AI‑RAN is one of several areas we’re actively exploring as part of the longer-term evolution of our radio access network. Working with partners across the ecosystem helps us better understand where new approaches could deliver meaningful benefits – from performance and resilience through to operational simplicity and, ultimately, customer experience – as we assess future network architectures,” said Reza Rahnama, MD Mobile, BT Group.

Dell Technologies

“The successful completion of functional tests by Nokia and NVIDIA demonstrates that GPU-accelerated AI-RAN workloads can run on scalable, proven infrastructure at the edge. Our Dell PowerEdge servers are engineered to deliver the high-performance compute foundation that operators will need as AI-native networks move from the lab to the field. With no-touch software upgrades and low-touch silicon upgrades, Dell PowerEdge provides a smooth, cost-effective path from 5G-advanced to 6G," said Andrew Vaz, Vice President, Dell Technologies.

Elisa

“Elisa is a global pioneer in applying AI across its networks. Together with Nokia and NVIDIA, we are bringing AI-RAN closer to commercial reality. AI-RAN is a key enabler for optimizing end-to-end network performance, enhancing service quality, and advancing toward AI‑native 6G — as well as future agentic, robotic, and ultimately physical AI,” said Sami Komulainen, COO and EVP, Technology and Operations, Elisa.

Indosat Ooredoo Hutchison

Vikram Sinha, President Director and CEO of Indosat Ooredoo Hutchison, said: “This is not just about proving that the technology works. It is about ensuring that every Indonesian, wherever they are, can benefit from the digital and AI era. Our commitment is simple: no one should be left behind.”

NTT DOCOMO

“As part of AI-Centric Network strategy, DOCOMO is accelerating AI-driven automation, autonomous network operations, and integrating computing resources to enable the seamless migration of AI and device applications into the network. Through these strategic initiatives, DOCOMO aims to deliver a more advanced, differentiated, and superior customer experience. We are pleased to advance the realization of AI-Centric Network together with Nokia, a trusted partner that supports us across every aspect of our business,” said Takaaki Sato, Senior Executive Vice President and CTO, NTT DOCOMO, INC.

Quanta

“Nokia’s expansion of its AI‑RAN ecosystem marks an important milestone in the evolution of wireless networks,” said Mike Yang, President of QCT. “As part of this growing ecosystem, QCT is proud to collaborate with Nokia and NVIDIA to deliver our server platforms with the infrastructure required to bring AI‑native RAN to life.”

Red Hat

“The transition to AI-RAN is a pivotal moment in the evolution of 5G, but its success depends on the ability to scale and monetize these complex workloads across diverse environments without increasing operational silos,” said Chris Wright, chief technology officer and senior vice president, Global Engineering, Red Hat. “By providing a common, cloud-native foundation powered by Red Hat OpenShift, we are enabling service providers to unify their network and AI applications on a single platform. This consistency is essential for a faster ROI and accelerating the delivery of AI-native 6G, giving our customers the flexibility to deploy and scale intelligent services from the core to the edge with full control over their technology stack.”

SoftBank Corp.

“In AI-RAN, it is important for telecommunications operators to maximize the value of their compute resources,” said Ryuji Wakikawa, Vice President and Head of the Research Institute of Advanced Technology at SoftBank Corp. “Our demonstration of external AI workload integration through our enhanced AITRAS Orchestrator marks a significant milestone in this effort. This initiative aligns with the architectural principles of the AI-RAN Alliance and supports the continued evolution of AI-RAN.”

SuperMicro

“The momentum behind AI-RAN signals a fundamental shift in how mobile networks are designed and deployed, and our collaboration with Nokia and NVIDIA demonstrates how quickly the ecosystem can move from concept to real-world deployment,” said Cenly Chen, Chief Growth Officer, Supermicro. “Supermicro is delivering purpose-built, GPU-optimized infrastructure to help operators scale performance, efficiency, and deployment speed of current 5G infrastructure while laying the foundation for AI-native 6G networks.”

T-Mobile U.S

“At T-Mobile’s AI-RAN Innovation Center, we worked with Nokia and NVIDIA to complete an over-the-air demonstration call using commercial RAN software, where Layer 1 workloads ran on GPU acceleration alongside AI applications on the NVIDIA Grace Hopper platform,” said John Saw, President, Technology & Chief Technology Officer. “Conducted using live spectrum, a commercial C-band radio and a standard 5G smartphone, the demo provided valuable insight into how AI and RAN workloads can operate together on shared infrastructure, informing our ongoing evaluation of future network architectures.”

Vodafone Group

Marco Zangani, Director of Network Strategy and Architecture, Vodafone, said: “We are entering the next evolution of AI that goes far beyond being a network add-on. Vodafone, together with Nokia and an ecosystem of global partners, is advancing the development of compute-platforms at its Málaga Innovation Centre that will form the nucleus of future autonomous, AI-native, and 6G-ready networks.”

Doksuri: A New Generation of AI-RAN Ready Radios

The new Doksuri Radios represent a significant leap forward in performance, energy efficiency, and deployment simplicity. Built on a next-generation System-on-Chip (SoC), Doksuri Radios bring advanced intelligence into the radio, positioning it as a foundational component in Nokia’s AI-RAN strategy. Engineered for real-world performance, Doksuri Radios deliver:

• Up to 30% improvement in power efficiency, combining higher output power with lower energy consumption under typical network conditions, reducing environmental footprint

• Up to 25% lighter Radios, lowering site footprint and simplifying deployments

• Unique mounting system, reducing installation time by up to 70%, enabling faster, more efficient deployments.

AI-RAN Ready

Doksuri Radios are powered by our latest generation ReefShark System on Chip (SoC) technology that unlocks advanced capabilities, efficiency and adaptability. This positions Doksuri Radios as a key enabler in the evolving AI-RAN ecosystem and ensures future-proof capabilities for telecommunications providers, including compatibility with Open RAN front-haul standards.

Additionally, at #MWC26, Nokia will demonstrate its comprehensive Radio portfolio, including several new Habrok Massive MIMO products for TDD and for FDD spectrum, each delivering the necessary performance for telecommunications operators to offer advanced connectivity in the AI era.

Marketplace for Service Management and Orchestration  

Nokia has also launched an rApp Marketplace for its Service Management and Orchestration (SMO) platform, enabling communication service providers and ecosystem partners to more easily build, integrate, and deploy automation applications within an open, multivendor environment. It allows users to discover, evaluate and deploy rApps that enhance network automation, performance and efficiency. This marketplace reinforces Nokia’s commitment to accelerating AI-driven RAN automation, fostering deeper co-creation with customers and rApp partners, and simplifying how CSPs adopt and scale autonomous network capabilities. 

Nokia at MWC26

Visitors to Nokia’s booth 3B20 in Hall 3 at Mobile World Congress 2026 will experience multiple demonstrations of Nokia’s latest technologies and innovations, highlighting their role in enabling cognitive, software-defined radio systems. Nokia’s demonstrations also showcase how AI-RAN can optimize network operations, improve energy efficiency and support new AI-driven applications.

Multimedia, technical information, and related news

Web Page: AI-RAN

Product Page: AirScale Macro Remote Radio Heads

Product Page: Nokia AirScale Baseband

Telefonica’s new Edge node project will support AI training and inferencing at the Edge and will power essential digital services in healthcare, education, industry, and government, underscoring Telefónica’s commitment to data sovereignty and technological innovation. Nokia is providing connectivity for compute and storage inside the Edge nodes and will also connect those Edge nodes to the outside world.

Under the multi-year agreement, Nokia was awarded exclusive responsibility for deploying networking solutions to support 17 Edge nodes, 12 of which have already been deployed, including at Telefónica’s flagship Tecno-Alcalá site—one of the largest data centers in the world.

The deployment follows a successful initial Nokia rollout of three pilot Edge data centers in 2024, and positions Nokia as the sole networking technology partner for Telefónica’s expanding Edge network. This single-vendor model will simplify operations, unify architecture, and increase efficiency across the project.

Connectivity inside the Edge data centers will be provided by Nokia's 7220 Interconnect Router (IXR) data center switches and 7750 Service Router (SR) data center gateways. The solution enables deep automation, multi-cloud integration, and agile adaptability to emerging digital demands.

Nokia is helping telecommunication providers, cloud providers and mission-critical enterprises worldwide to build modern data center networks that are highly reliable, secure and easy to operate – which is essential to meet the growing demands of AI workloads worldwide.

Multimedia, technical information and related news

Webpage:        Nokia data center networks

Product Page: Nokia Data Center Gateways

Product Page: Nokia Data Center Switches

Nokia's innovative AI slicing solution, powered by AWS, uses agentic AI to analyze real-world internet data, including locations, events, traffic, incidents, and maps, enabling telecommunications providers to deliver adaptive network slicing. This agentic AI-powered approach unlocks significant customer value across diverse applications and use cases by creating premium services that respond intelligently to dynamic conditions, ensuring optimal performance precisely where and when customers need it.

Furthermore, telecommunication providers can face challenges optimizing network performance during unpredictable events like traffic surges, emergencies or mass gatherings, which can result in suboptimal service quality and inefficient resource utilization. Autonomous network slicing intelligence dynamically adapts and manages even the most challenging traffic conditions across varied geographical areas.

Agentic AI slicing for diverse applications and use cases

This agentic AI-powered 5G-Advanced network slicing innovation can be used for different use cases, including:

• Intent-based enterprise and industrial slicing measures live network KPIs such as bitrate and latency and autonomously adjusts RAN policies to meet enterprise SLAs across campuses, business parks and city areas. The innovation enhances premium slicing services for critical applications in manufacturing, IoT, drones, smart cities, hospitals, energy, transportation and ports.

• On-demand slicing with agentic AI boosts network performance for selected 5G base stations. When activated by external data, this service provides first responders and public safety authorities with better network connectivity during emergencies. On-demand network slicing with agentic-AI preserves quality of service for premium 5G+ and FWA customers using gaming, streaming, XR, and AI applications in response to major traffic surges, weather conditions and environmental changes.

• Agentic AI for mass events provides much broader capacity availability during high-demand moments like concerts and sporting events. AI analyses network data, infers patterns, and sets slicing policies for scheduled events, optimizing premium 5G slicing for VIP spectators, payment applications, fan engagement, video broadcasting and operational crews in arenas, parks and conference centers.

Leveraging leading-edge technologies

Nokia’s agentic AI-powered solution on AWS introduces intent-based network slicing that continuously monitors network KPIs, infers real-world contextual data from multiple sources and automatically adjusts RAN policies to meet service-level agreements. The end-to-end advanced network slicing innovation across RAN-transport-core utilizes especially Nokia’s 5G AirScale base station, MantaRay SMO and Agentic AI modules, which are seamlessly integrated with the Amazon Bedrock Artificial Intelligence platform.

The integrated solution uses agentic AI to coordinate data analytics, inferencing, and RAN policies. These AI agents leverage open internet data—including events, timetables, incidents, traffic, locations, maps, and weather—for different network slicing use cases. The agentic AI modules operate in multiple modes: chatbot, on-demand, scheduled, and autonomous. All modules interact with Amazon Bedrock via APIs. Furthermore, applications and use cases powered by Agentic AIs are enhanced with Nokia’s Edge Slicing solution, bringing cloud applications and workloads directly to mobile users and devices over high-capacity, secure, and low-latency networks.

Amazon Bedrock enables intelligent network optimization by providing access to foundation models and the infrastructure to build specialized AI agents. These agents analyze historical RAN parameters alongside contextual data to optimize RAN, core, and transport layers for mobile networks. Using Amazon EKS Hybrid Nodes, telecommunications providers can deploy these agents and network workloads on their existing infrastructure while unifying Kubernetes management across cloud and edge environments, providing the flexibility and scalability needed for modern network operations

Nokia at Mobile World Congress 2026

Visitors to Nokia’s booth in Hall 3 at this year’s Mobile World Congress event will be able to see live demonstrations of Nokia’s slicing solution and the agentic AI-powered advanced network slicing innovation.

Multimedia, technical information, and related news 

Product Page: AirScale Radio Access 

Product Page: MantaRay SMO

Web Page: Network slicing

Web Page: Autonomous Networks

Web Page: 5G edge slicing

The findings highlight a shared recognition across the connectivity ecosystem that next-generation network capabilities are essential and must modernize to support increasingly complex AI workloads. This presents an opportunity for collective action across industry and government to strengthen the digital foundation on which future AI innovation depends.

The research explains why this evolution matters, with AI redefining network requirements: workloads are becoming more uplink-heavy, data flows are more distributed, and expectations around latency, throughput, resilience, security, and energy efficiency are rising. These changes carry implications not only for telecommunication providers, AI and cloud providers, and mission-critical enterprises, but for national competitiveness and long-term digital leadership.

AI applications – from autonomous vehicles and smart manufacturing lines to surveillance drones and remote health care diagnostics – generate large volumes of data at the edge that must be transmitted upstream for processing, making them uplink-intensive. This stresses today’s networks, which were originally engineered for downlink-focused consumer use, such as browsing websites and video streaming.

Nokia is encouraging collaboration across the network ecosystem and support for more simplified and predictable regulatory environments that enable timely network investment. The research commissioned by Nokia includes perspectives from operators, enterprises, and partners about the capabilities they need from next-generation infrastructure to scale AI effectively. The research is broken down into separate geographic reports.

United States

While the U.S. continues to lead global AI deployment and mass-market adoption, 88% of U.S. respondents expressed concern that the expansion of network infrastructure may not keep pace with AI investment.

Respondents identified bi-directional data flow optimization, expanded fiber capacity, real-time training feedback, and low-latency edge infrastructure as essential priorities and building blocks for modernizing network architecture and powering the next phase of AI growth.

The U.S.-focused report, “Infrastructure First Is the New America First”, can be found here.

Europe

In Europe, 86% of enterprise respondents said current networks are not yet equipped to handle widespread AI adoption. Two-thirds of those surveyed said they already have AI in live use, and more than half have already experienced challenges such as downtime, latency, and throughput constraints associated with increasing data demands.

To address these challenges, respondents emphasized the need for consistent regulatory simplification and alignment across markets, timely spectrum availability, adjustments in competition policy to enable market consolidation, and industry-wide investment in energy-efficient, AI-ready networks.

These findings can be found in the “AI is too big for the European Internet” report here.

Multimedia, technical information and related news

• Press Release: Nokia unveils strategy to capture value from AI supercycle

Nokia’s MantaRay SON solution is designed to address the increasing complexity of 5G networks, which involve thousands of base stations and millions of cells. By automating routine operations, MantaRay SON improves network quality, efficiency, and customer experience while significantly reducing operational costs.

The integration of MantaRay SON into DOCOMO’s network allows for seamless automation of planning, provisioning, and verification processes. It also enables closed-loop operations, where configuration changes 5G systems are detected and executed automatically without human intervention. This innovation enhances the alignment between different operational systems, ensuring timely quality improvements and better network performance. Looking ahead, MantaRay SON will further evolve in DOCOMO’s network with multi-vendor support, MantaRay AutoPilot, and Non-RT RIC capabilities to deliver even greater automation and intelligence.

Nokia’s MantaRay SON is a key component of its Service Management and Orchestration (SMO) framework, which leverages AI to optimize network operations. The solution also supports DOCOMO’s goal of achieving Level 4 autonomous network operations, further advancing automation across its infrastructure.

Multimedia, technical information, and related news 

Product Page: AirScale Radio Access 

Product Page: MantaRay SON 

Product Page: MantaRay AutoPilot

Product Page: MantaRay SMO

Dallas, Texas – Nokia, in collaboration with the Trump administration, announced today plans to expand its U.S. R&D and manufacturing capabilities, investing $4 billion to accelerate innovation in AI-ready mobile, fixed access, IP, optical, and data center networking technologies. The planned investment over multiple years is in addition to Nokia’s $2.3 billion investment in U.S. manufacturing, R&D, and AI connectivity through its purchase of Infinera. Additionally, Infinera had previously announced a $456 million investment for two U.S. manufacturing facilities, which received CHIPS Act incentives.

Nokia expects to invest around $3.5 billion in U.S. R&D, reflecting the company’s strong commitment to advancing the next generation of connectivity and AI technology across all facets of the network, including mobile, fixed, IP, optical, data center networking technologies, and mission-critical/defense solutions. Nokia is committed to continuing the creation of groundbreaking technologies in the U.S., following in the footsteps of its award-winning Nokia Bell Labs headquartered in New Jersey. For over a century, the scientists and engineers at Nokia Bell Labs have pioneered technological innovations from the invention of the transistor to advancements in digital communications and now AI.

About $500 million in U.S. capital expenditures will be invested in manufacturing and research and development in U.S. states that include Texas, New Jersey, and Pennsylvania.

The U.S. investment plan will strengthen Nokia’s comprehensive suite of AI-optimized networking solutions, as well as its industry-leading R&D in advanced networking technologies, including automation, quantum-safe networks, semiconductor manufacturing, testing, and packaging, and state-of-the-art material sciences.

Connectivity is a strategic asset in defense, empowering AI-driven, faster, and more informed decision-making. As defense forces increasingly adopt AI-native dual-use technologies, Nokia has launched a dedicated defense incubation business unit to accelerate co-innovation with partners in the U.S., Finland and other NATO and Five Eyes countries.

Through the strategic partnership, Nokia and NestAI will jointly innovate defense-focused, AI-native solutions by combining Nokia’s expertise in secure, AI-native connectivity, sensing, and multimedia with NestAI’s platforms in unmanned systems, C2 systems and next-generation AI. Together, the companies will leverage strong capabilities in forward-deployed engineering and R&D with the ambition to accelerate the development of AI capabilities into unmanned systems, data-centric C2, and modern information and knowledge management. This further accelerates and deepens the collaboration with European defense forces and other partners.

Nokia’s industry-leading, energy-efficient, and AI-ready AirScale Radio Access Network (RAN) portfolio will support TIM’s sustainability ambitions and reduce its environmental impact. Nokia will supply its latest generation of Habrok 32 Massive MIMO radios and its Pandion portfolio of FDD multi-band remote radio heads for comprehensive coverage across multiple deployment scenarios. TIM will also benefit from Nokia’s latest baseband solutions, including Lodos, a high-performance 4G/5G baseband capacity card offering enhanced scalability and reduced energy consumption. These solutions are powered by Nokia’s energy-efficient ReefShark System-on-Chip technology, boosting TIM’s 5G network for maximum performance, efficiency, and reliability.

Nokia will also extend the deployment of its AI-powered MantaRay SON solution to more areas. This self-organizing network solution for optimization and automation supports TIM’s ambitions to use AI and analytics to drive higher network efficiency and quality and deliver a better user experience. The deal also includes deployment, maintenance, and support services that leverage AI to enhance performance, efficiency, and safety.

Multimedia, technical information, and related news

Webpage: AirScale Radio Access

Webpage: AirScale Massive MIMO radios

Webpage: Nokia AirScale Baseband

Webpage: MantaRay SON

Webpage: Deployment services

Under this agreement, Nokia will deploy its energy-efficient AirScale Radio Access Network (RAN) solutions, featuring the latest Habrok Massive MIMO radios and AirScale baseband equipment. These solutions, powered by its ReefShark System-on-Chip technology, will deliver ultra-high performance, coverage, and capacity while maintaining extreme energy efficiency. The implementation includes Nokia's AI-powered MantaRay solution for enhanced network management and Self-Organizing Network capabilities.

Nokia and SoftBank are founding members of the AI-RAN Alliance and are also collaborating on research and development initiatives in AI-RAN and 6G technologies. These initiatives include joint research, field trials, and the development of a virtualized RAN platform. Both companies are conducting tests in the 7 GHz frequency band for 6G in Tokyo using Massive MIMO technology.

Multimedia, technical information, and related news

Product Page: AirScale Radio Access

Product Page: AirScale Massive MIMO radios

Web Page: AI-RAN

Product Page: Nokia AirScale Baseband

Product Page: MantaRay SON

The partnership marks the beginning of the AI-native wireless era, providing the foundation to support AI-powered consumer experiences and enterprise services at the edge.

In addition, the partnership addresses the fast-growing AI-RAN market, representing a significant opportunity within the RAN market that is expected to exceed a cumulative $200 billion by 2030, according to analyst firm Omdia.

Together, NVIDIA and Nokia are also laying the strategic infrastructure and opening up a new high-growth frontier for telecom providers by delivering distributed edge AI inferencing at scale.

T-Mobile U.S. will also collaborate with Nokia and NVIDIA to drive and test AI-RAN technologies as a part of the 6G innovation and development process, reinforcing its global leadership in driving wireless innovation. Trials are expected to begin in 2026, focused on field validation of performance and efficiency gains for customers.

The move will enable massive improvements in performance and efficiency, helping ensure that consumers using generative, agentic and physical AI applications on their devices will have seamless network experiences. It will also support future AI-native devices, such as drones or augmented- and virtual-reality glasses while being ready for 6G applications such as integrated sensing and communications.

Supporting Exponential Growth in AI traffic

Growth in AI traffic is exploding. For example, almost 50% of ChatGPT’s 800 million weekly active users access the site via mobile devices, and its monthly mobile app downloads exceed 40 million.

With Nokia and NVIDIA-powered AI-RAN systems, mobile operators can improve performance and efficiency as well as enhance network experiences for future generative AI and agentic AI applications and experiences. They will be able to introduce new AI services for 6G with the same infrastructure, powering billions of new connections for cars, robots, drones and augmented- and virtual-reality glasses that demand connectivity, computing and sensing at the edge.

Seamless Transition to AI-Native Networks

NVIDIA is introducing Aerial RAN Computer Pro (ARC-Pro), a 6G-ready accelerated computing platform that combines connectivity, computing and sensing capabilities, enabling telcos to move from 5G-Advanced to 6G through software upgrades.

The NVIDIA ARC-Pro reference design is available for manufacturers and network equipment providers to build commercial-off-the-shelf-based or proprietary AI-RAN products, supporting both new buildouts and expansions to existing base stations.

Nokia will accelerate the availability of its 5G and 6G RAN software on the NVIDIA CUDA® platform and expand its RAN portfolio by embedding NVIDIA ARC-Pro at the heart of the new AI-RAN solution. This partnership will enable Nokia’s mobile network customers to transition seamlessly from today’s RAN networks to future AI-RAN networks.

Nokia’s unique anyRAN approach simplifies the introduction of the ARC-Pro platform by establishing software-defined RAN evolution for both Cloud RAN and purpose-built RAN. AirScale baseband is a modular architecture in which new cards can coexist with previously deployed cards. Nokia aims to expand and evolve its AirScale baseband into the 5G-Advanced and 6G era with new AI-RAN capabilities.      

Dell Technologies is driving innovation in Nokia’s AI-RAN solution with its state-of-the-art Dell PowerEdge servers. Engineered for seamless scalability, these servers enable no-touch software upgrades and low-touch silicon upgrades, ensuring a smooth evolution from 5G to 5G Advanced and 6G. With their robust, high-performance infrastructure, Dell PowerEdge servers are the ultimate compute platform for operators deploying AI- RAN solutions.

Future Proofed for 6G

Nokia and NVIDIA’s AI-RAN platform unifies AI and radio access workloads on a software-defined, accelerated infrastructure, boosting performance, efficiency and monetization while enabling a smooth, cost-effective path to 6G.

New capabilities are added through software updates, future-proofing investments for 6G and beyond, while enabling rapid innovation cycles at the pace of AI. It serves growing generative AI and agentic AI traffic on the same sites as RAN functions, applying AI algorithms to improve spectral and energy efficiency, as well as overall network performance, and by tapping into underutilized RAN assets to host edge AI services and maximize return on investment.

Additional AI Networking Solutions Cooperation

Nokia and NVIDIA will also collaborate on AI networking solutions, including data center switching with Nokia’s SR Linux software for the NVIDIA Spectrum-X™ Ethernet networking platform and the application of Nokia’s telemetry and fabric management platform on NVIDIA AI infrastructure.

The companies will also explore the use of Nokia’s optical technologies and capabilities as part of future NVIDIA AI infrastructure architecture.

FORWARD-LOOKING STATEMENTS
Certain statements herein that are not historical facts are forward-looking statements. These forward-looking statements reflect Nokia's current expectations and views of future developments and include statements regarding: A) expectations, plans, benefits or outlook related to our strategies, projects, programs, product launches, growth management, licenses, sustainability and other ESG targets, operational key performance indicators and decisions on market exits, including as a result of the transaction and the partnership with NVIDIA; B) expectations, plans or benefits related to future performance of our businesses, including as a result of the transaction and partnership with NVIDIA, (including the expected impact, timing and duration of potential global pandemics, geopolitical conflicts and the general or regional macroeconomic conditions on our businesses, our supply chain, the timing of market changes or turning points in demand and our customers’ businesses) and any future dividends and other distributions of profit; C) expectations and targets regarding financial performance , results of operations and use of proceeds, including market share, prices, net sales, income, margins, cash flows, cost savings, the timing of receivables, operating expenses, provisions, impairments, tariffs, taxes, currency exchange rates, hedging, investment funds, inflation, product cost reductions, competitiveness, value creation, revenue generation in any specific region, and licensing income and payments; D) ability to execute, expectations, plans or benefits related to transactions, investments and changes in organizational structure and operating model; E) impact on revenue with respect to litigation/renewal discussions; F) timing of completion of the transaction; and G) any statements preceded by or including “anticipate”, “continue”, “believe”, “envisage”, “expect”, “aim”, “will”, “target”, “may”, “would”, “could“, “see”, “plan”, “ensure” or similar expressions. These forward-looking statements are subject to a number of risks and uncertainties, many of which are beyond our control, which could cause our actual results to differ materially from such statements. These statements are based on management’s best assumptions and beliefs in light of the information currently available to them. These forward-looking statements are only predictions based upon our current expectations and views of future events and developments and are subject to risks and uncertainties that are difficult to predict because they relate to events and depend on circumstances that will occur in the future. Factors, including risks and uncertainties that could cause these differences, include(1) the possibility that the conditions to the closing of the transaction are not satisfied, or the occurrence of any event, change or other circumstance that could give rise to a right to terminate the transaction; (2) the possibility that the stock price of Nokia could fluctuate during the pendency of the transaction and may decline if the transaction is not completed; (3) uncertainty as to the timing of completion of the transactions and the ability of each party to consummate the transactions; and (4) those risks and uncertainties identified in our 2024 annual report on Form 20-F published on 13 March 2025 under Operating and financial review and prospects-Risk factors.

The first phase of deployment is underway in New York and New Jersey, with expansion planned to dozens of additional markets and thousands of lit buildings in the near future.

Zayo’s fiber footprint spans over 19 million fiber miles and 147,000 route miles, connecting 400 markets and more than 1,500 on-net data centers globally. The new network architecture allows Zayo to deploy connectivity in new markets and bring more lit buildings online in record time, enabling the company to expand its reach and quickly respond to changing market conditions. The ability to rapidly deliver high-capacity infrastructure closer to its end user also reduces exposure to single points of failure, minimizes congestion, and ensures stable, resilient performance across Zayo’s IP backbone. This transformation to a more modular and scalable solution with Nokia’s next-generation IP router solution positions Zayo to meet growing bandwidth demand — including delivering 400G and 800G-capable services at scale — to support the next wave of cloud and edge computing and enable faster access to digital services for its customers.

This next-generation architecture replaces Zayo’s existing Provider Edge infrastructure with Nokia’s high-performance IP router solution. Built on Nokia’s advanced FP5-based 7750 Service Router and the Nokia 7250 Interconnect Router (IXR), the new solution enables rapid deployment, increased reliability, and simplified operations across Zayo’s extensive global network. The new Nokia architecture enhances scalability, allowing Zayo to serve more customers while improving reliability and performance across its infrastructure.

Multimedia, technical information and related news

Product Page: Nokia 7750 Service Router

Product Page: Nokia 7250 Interconnect Routers

Among the report’s key findings:

Stealthy campaigns now target the telco core

Attackers have stepped up their intrusions into telecom networks, in some cases reaching sensitive systems such as subscriber data and lawful interception platforms, as seen in the high-profile Salt Typhoon case. They often hide in plain sight by abusing trusted tools, unpatched devices and misconfigurations.

• 63% of operators faced at least one “living off the land” attack last year; 32% saw four or more.
• Multi-year, low-profile infections have led to major data exposure and forced operators into costly remediation, highlighting the business and reputational risks of long-term, privileged access.
• As the CISO from one leading CSP in North America said, “Salt Typhoon was the most significant cybersecurity incident we faced in the last 12 months. … Some of the entry points were put in place years ago, just sitting and waiting for the right moment to trigger.”

DDoS attacks are shorter and more powerful

Terabit-scale DDoS attacks are now a daily reality, up from once every five days in 2024, and gigabit residential broadband connectivity is amplifying the dangers.

• DDoS peaks in the 5 to 10 Tbps range are the “new normal,” escalating faster than most alert systems can raise alarms.
• Some 78% of DDoS attacks now end within five minutes (up from 44% in 2024), with 37% wrapping up in under two minutes, highlighting the need for rapid detection and mitigation.
• Over 100 million residential endpoints (4% of the global total) are now available for exploits and malicious uses of bandwidth.

AI is now central to defense, and quantum-safe networking is the next frontier

More than 70% of telecom security leaders now prioritize AI- and ML-based threat analytics, and over half plan to deploy AI for detection within 18 months — a direct response to stealthy attacks and rapid DDoS campaigns. In a similar sense, telcos also need to adopt automated certificate management and encryption that’s ready for the quantum future.

• The timespan in which digital certificates remain valid is shrinking dramatically, from currently over a year to just 47 days by 2029.
• Despite upcoming compliance deadlines from governing bodies — particularly in the European Union — the industry’s sense of urgency is low: Quantum computing risk ranks second to last among concerns for network security professionals.

Insider risk, human error and misconfigurations remain major vulnerabilities

Nearly 60% of high-cost breaches stem from insider actions or mistakes, with complex supply chains further increasing exposure to credential misuse, privilege escalation and physical access breaches.

• Hygiene gaps still open doors too, as 76% of vulnerabilities stem from missing patches.
• Application‑layer issues, including poor access controls and exploitable software flaws, remain prevalent as digital services expand.

About the report

The Nokia Threat Intelligence Report draws on operational insights from the company’s NetGuard and Deepfield portfolios, real-world data from Managed Security Services operations, advanced research from Nokia Bell Labs, and expertise in cybersecurity consulting and quantum-safe networking. These are complemented by fresh quantitative and qualitative insights from 160 global telecom security leaders, providing a nuanced, evidence-based view of the risks and responses shaping the sector. The report includes a comprehensive set of recommendations spanning threat detection and response, AI adoption, DDoS mitigation, regulatory compliance, quantum readiness and more, to help telecom operators strengthen resilience across their networks. 

Multimedia, technical information and related news

Web Page: Cybersecurity

Web Page: XDR Security

Product Page: Stop botnets and DDoS attacks with AI-driven defense

Product Page: Deepfield Defender | Advanced DDoS Security by Nokia

Blog: Managing cybersecurity amid the quest for autonomous networks

Operators deploying FTTH networks face limited visibility into the passive outside plant, resulting in inventory errors, costly repeat truck rolls, cost overruns and service delays. With better visibility to the outside plant, operators can fix problems faster, expand networks efficiently, and deliver more reliable broadband to their communities.

The Altiplano digital twin capabilities are compatible with diverse inventory and geospatial software solutions, work effectively in greenfield or brownfield deployments, and come pre-integrated with Nokia Broadband Easy digital platform for automated fiber rollout and operations.

Nokia Altiplano gives operators a unified, real-time view of their FTTH networks, using automation tools to streamline processes and continuously validate inventory, topology, and resource data. Operators can also access Nokia’s new Fiber Health Analyzer and Subscriber Line Identifier application from its growing Altiplano Marketplace. The new AI-powered Fiber Health Analyzer application allows operators to monitor the health of fiber links, audit the imported topology, isolate fiber faults, proactively detect issues, perform root cause analysis and improve service quality.  With the new Subscriber Line Identify application, operators can verify splitter connectivity with minimal disruption or update inventory in real time to accurately reflect network realities. 

Resources and additional information:

Product Page: Altiplano Access Controller

Product Page: Altiplano Application Marketplace

Product Page: Broadband Easy

Under the global agreement, Nokia will gain access to HPE’s RAN Intelligent Controller (RIC), integrating it with MantaRay AI-Powered SMO and Network Automation assets. In addition, the associated development team has largely transferred to Nokia Mobile Networks, effective October 1, 2025.

MantaRay SMO is Nokia’s comprehensive solution for advanced AI-driven, zero-touch automation and is already capable of achieving TM Forum’s autonomous networks level 4 today. It is also fully Open RAN compliant and supports open R1 interface for rApps.

Multimedia, technical information and related news

Web Page: Nokia MantaRay SMO

Solution Brief: Nokia MantaRay SMO: Advanced automation for advanced networks

AI is driving a fundamental rethink of data center operations. Real-time training and inference demand ultra-low latency, while even minor packet loss can derail training jobs and delay completion. Combined with massive bandwidth requirements, these pressures are pushing existing data center networks to their limits.

Ultra Ethernet Consortium (UEC) Specification 1.0 defines this new UET layer to solve the complex problem set that HPC/AI creates. With Ethernet widely adopted across most data networks worldwide, it is a compelling protocol for modernizing AI data center networks with new standards, best practices, and architectures to support AI and HPC workloads. As an active member of the UEC, Nokia is committed to leveraging UET as a highly compatible, cost-effective, and interoperable part of AI and HPC application stacks.

The procedure tested 800 GE interfaces with flows of UET traffic generated by Keysight’s AresONE 800GE-8P-QDD-M testing platform over a network that spanned all variants of the Nokia 7220 IXR-H5 and the Nokia 7250 IXR-10e platforms. These Nokia switches were running the SR Linux Network Operating System (NOS).

As Nokia integrates UEC Specification 1.0 capabilities into the Nokia data center fabric solution for HPC/AI networks, global customers already have immediate commercial access to an AI-ready and UEC-compatible portfolio with support for Remote Direct Memory Access over Converged Ethernet (RoCEv2) and Data Center Quantized Congestion Notification (DCQCN). The current support for RoCEv2 was also tested at 800 GE flows in parallel on the same testbed, showcasing coexistence, openness, and flexibility.

Resources and additional information

Web Page: Data center networks

Product Page: 7220 Interconnect Router for Data Center Fabrics

Product Page: 7250 Interconnect Router for data center fabrics

Product Page: Service Router Linux (SR Linux)

Web Page: Ultra Ethernet Consortium

Nokia is also joining other investors in Nscale’s Series B investment round, designed to advance the building of scalable, secure, and globally competitive AI infrastructure amid soaring demand for AI-ready data centers. Headquartered in the UK and operating globally, Nscale is an AI-native infrastructure platform, providing vertically integrated compute, networking, storage, managed software, and AI services delivered in Nscale-owned and co-located data centers.

This partnership sees Nokia become an Nscale preferred partner for networking technologies from across its Network Infrastructure portfolio, for the build-out of AI clusters at scale. Nokia offers a comprehensive portfolio - data center switching, IP routing, and optical networking – for delivering secure, high-performance connectivity within and across data centers and between end-users and applications. This enables customers to scale cloud capacity more efficiently and cost-effectively, while making processes inside the data center faster and more energy efficient.

The partnership agreement will also see Nokia and Nscale jointly drive innovation in the networking stack used in AI clusters and partner globally on joint deployment initiatives.

Resources and additional information

Web Page: Nscale

Web Page: Data center networks 

Web Page: Networking for AI workloads 

Web Page: Infinera is now part of Nokia 

The solution will empower Converge to enhance network performance, scalability and efficiency while improving service agility. Converge will also be able to ensure sovereign cloud readiness for regulatory compliance.

Nokia’s 7220 Interconnect Router (IXR) data center switches, running the next-generation SR-Linux network operating system (NOS) and Event-Driven Automation (EDA) platform, will enable Converge to drive operational excellence by enhancing network simplicity.

The operator will be able to ensure more sustainable operations by using automation to reduce energy consumption. Nokia’s Data Center Fabric solution delivers a consistently high-quality experience while addressing the growing demands of AI-driven workloads.

Nokia’s EDA provides improved response time and ensures consistent performance even as it consumes reduced computing resources. Nokia 7220 IXR is a crucial component of Nokia’s Data Center Fabric solution and is designed to meet the high connectivity demands. It provides fixed-configuration, high-capacity platforms that enable unparalleled scale, flexibility and operational simplicity to the data center networks.

Multimedia, technical information and related news

Web Page: Nokia Data Center Networks

Product Page: Nokia EDA

Product Page: Nokia 7220 IXR

Product Page: Nokia SR Linux

Web Page: Data Center Fabric

eBook: Switch to data center networking your way

Nokia’s industry-leading, energy-efficient AirScale Radio Access Network (RAN) portfolio will support Elisa’s pioneering efforts to deliver premium 5G services to its customers. Nokia will supply its latest generation of Advanced 5G-ready Habrok 32 Massive MIMO radios and its Pandion portfolio of FDD multi-band remote radio heads for comprehensive coverage across multiple deployment scenarios. Nokia will also supply its high-capacity compact Tuuli 26e and ultra-performance Ponente, Lodos, and Levante AirScale baseband solutions. Nokia’s portfolio is powered by its energy-efficient ReefShark System-on-Chip technology for maximum performance, efficiency, and reliability. Elisa will also benefit from Nokia’s network management solution MantaRay NM. The deal also includes network optimization, maintenance, and support services.

Nokia will also introduce its new AirScale Dual Boost base station technology, designed to help CSPs maximise the potential of their base station assets. It utilizes Nokia’s advanced AirScale base station portfolio, baseband, and radio hardware and software to enhance Nokia’s massive MIMO capabilities further by providing a significant leap in both uplink and downlink processing. This supports Elisa’s base station hardware and software assets more efficiently. 

Nokia’s cloud-native Voice Core solution, Cloud Native Communication Suite (CNCS), will drive the deployment of new 5G services and improve operational efficiencies, including lower energy demand and hardware requirements.

CNCS streamlines network operations by bringing together multiple IMS voice 3GPP functionalities into a single cloud-native network function. CNCS generally improves energy efficiency by about 10 percent to 20 percent, relative to a standard IMS Voice Core, according to Nokia data.

Nokia will also provide Elisa with its modern, highly reliable data center fabric solution including SR Linux-based data center switches and the Nokia Event-Driven Automation (EDA) platform. Interconnection between telco cloud locations will be provided by Nokia’s 7750 Service Router-based data center gateways.

Other Nokia Core solutions Elisa will utilize include Subscriber Data Management, for centralizing user data into a single Unified Data Repository that hosts applications; Cloud Signaling Director, for ensuring security and confidentiality between networks including while roaming; and Nokia Cloud Platform, for streamlining network activities, enhancing automation, and minimizing manual intervention. 

Multimedia, technical information, and related news

Solutions Brief: Capture new opportunities with Advanced 5G

Product Page: AirScale Radio Access

Product Page: AirScale Massive MIMO radios

Product Page: Nokia AirScale Baseband

Product Page: MantaRay SON

Product Page: Nokia Event Driven Automation

Product Page: Nokia Data Center Fabric

Product Page: Cloud Native Communications Suite

Web Page: Advanced 5G

Web Page: Nokia Core Networks

Web Page: Nokia Data Center Networks

Nokia DAC Marketplace makes it easy for customers and partners to find and purchase Industry 4.0 solutions that integrate into the Nokia Edge Compute and AI platform for industries. The marketplace automatically adjusts offerings based on the delivery country, ensuring compliance with local legislation. It also provides partners with a simplified process for integrating and offering complementary products as part of Nokia deals, strengthening the industrial ecosystem. Additionally, the DAC Marketplace provides opportunities for merchants to increase visibility with Nokia’s extensive customer and partner base through a quick and easy ordering process.

Nokia will exhibit at Hannover Messe 2025 in Hall 14, Stand H80, where it will showcase the Nokia DAC Marketplace.

Multimedia, technical information and related news

Product Page: Nokia DAC partners

Product Page: DAC Marketplace 

With a growing and diverse set of broadband services and customer needs, POST needed to break down data silos, improve operational efficiencies and guarantee quality at any time.  To create an autonomous, AI-ready fiber network, POST will use Nokia’s Altiplano Access Controller and Lightspan access nodes to:

• Reduce processing errors, improve customer experience and develop innovation faster;
• Detect anomalies faster and anticipate service-affecting issues before they occur;
• Monitor up to 20x more data points across the network to improve quality and enable AI-driven applications;
• Reduce its environmental footprint through real-time power monitoring dashboards that help optimize energy consumption and drive operational savings;
• Leverage open APIs to introduce new features, deploy new services and integrate new equipment faster;
• Provide XGS and future 25G PON services essential for cloud gaming, enterprise network and next-generation digital experiences. 

Multimedia, technical information and related news 

Product Page: Fixed access network automation

Product Page: Nokia Altiplano Access Controller

Product Page: Lightspan Operating System