Nokia, Amazon Web Services expand collaboration to deliver autonomous networks built for the AI era

    

Press Release

Nokia, Amazon Web Services expand collaboration to deliver autonomous networks built for the AI era

• Leveraging AWS’s AI and cloud services, Nokia’s Autonomous Network Fabric will help operators transition to networks that operate at machine speed to connect intelligence.
  
  

24 June 2026

Espoo, Finland — Nokia and Amazon Web Services (AWS) today announced they are expanding their collaboration to deliver autonomous networks built for the AI era, making it easier for telecommunication providers to run their full operational stack in the cloud.

 

Nokia and AWS are collaborating to run Nokia’s Autonomous Networks Fabric on AWS, giving operators access to advanced AI and cloud services required for Level 4 autonomy. This builds on a set of existing digital operations applications from Nokia — covering orchestration, assurance, and unified inventory — already on the platform. Availability is expected later this year.

 

Nokia’s Autonomous Network Fabric weaves together a broad portfolio that delivers intent-based service orchestration across multi-domain, multi-vendor networks; provides 360-degree observability with AI-powered anomaly detection, root cause analysis, and closed-loop resolution; and offers a single source of truth for network topology and resources.

 

The Fabric unifies observability, analytics, security, and automation through four core capabilities:

• Unified Data Management across domains.
• Agentic AI for service operations and optimization.
• Digital Twin simulations for proactive impact assessment.
• Intent-Based Networking that translates business goals into automated closed-loop actions.

 

‘This is how telcos will compete in the AI era’

 

While legacy network management tools require teams of experts to manually oversee mobile, fixed, and transport networks in silos, Nokia helps operators evolve from static infrastructures to programmable, AI-native platforms that anticipate changing traffic mixes and operate at machine speed to connect intelligence.

 

“Autonomous networks have gone from far-off vision to business imperative. At Nokia, we move operators toward greater autonomy through the convergence of intent-based networking, agentic AI, and cloud-native architecture. Together with AWS, we’re building a platform that scales operators’ ambitions while maintaining the control and governance they need. This is how telcos will compete in the AI era,” said Oguz Sunay, CTO, AI and Autonomous Networks, Nokia.

 

Running on AWS, Nokia’s solutions gain elastic scalability, global availability, and broad model choices through cloud AI and ML services — including Amazon Bedrock and Amazon SageMaker — enabling operators to innovate faster while reducing infrastructure costs. Nokia is also engineering an optimized cloud footprint that minimizes compute and storage requirements versus traditional on-premises deployments.

 

“The shift to autonomous network operations is ultimately about speed and step-change efficiency. Speed to detect, speed to resolve, speed to monetize. Achieving step-change cost efficiency is critical for customers to unlock agentic value in the AI era. Nokia’s decision to optimize its full operational stack on AWS means operators can take advantage of elastic scalability, purpose-built AI and ML services, and the most extensive global infrastructure footprint for wherever their networks operate. Together, we're compressing years of transformation into months, delivering step-change improvements in cost efficiency and revenue growth,” said Amir Rao, global director for Telco Solutions at AWS.

 

Cloud-based network innovation

 

Today’s news is the latest in a series of announcements between Nokia and AWS related to cloud-based network innovation. At MWC in March, the companies showcased the industry’s first agentic AI-powered network slicing alongside du and Orange. In February, they announced the world’s first commercial mobile service on 5G Core SaaS, running on Belgium’s Citymesh network.

 

In addition to these developments, Nokia’s autonomous networks portfolio is already delivering measurable results, with operators achieving automation rates exceeding 90%, service delivery times of four hours or less, and service interruption periods of one minute per year or fewer — along with up to 85% reduction in slice rollout time and up to 50% fewer customer-impacting incidents.

 

Nokia and AWS are committed to a collaborative innovation agenda that combines Nokia’s telecom-trained AI models and domain expertise with AWS’s AI services to deliver increasingly autonomous network operations. Together, the companies will go to market to help operators evolve their operational stacks, increase autonomous operations and unlock new revenue streams.

 

Multimedia, technical information and related news

Web Page: Autonomous Networks

Product Page: Digital Operations Center

Press release: Nokia and AWS showcase industry-first agentic AI-powered network slicing with du and Orange #MWC26

Press release: Citymesh goes live with world’s first commercial mobile service on 5G Core SaaS, powered by Nokia and AWS

 

About Nokia

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile, and transport networks, we're advancing connectivity to secure a brighter world.

 

About Amazon Web Services

Amazon Web Services (AWS) is guided by customer obsession, pace of innovation, commitment to operational excellence, and long-term thinking. By democratizing technology for nearly two decades and making cloud computing and generative AI accessible to organizations of every size and industry, AWS has built one of the fastest-growing enterprise technology businesses in history. Millions of customers trust AWS to accelerate innovation, transform their businesses, and shape the future. With the most comprehensive AI capabilities and global infrastructure footprint, AWS empowers builders to turn big ideas into reality. Learn more at aws.amazon.com and follow @AWSNewsroom.

 

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Nokia, Databricks demonstrate unified data platform for autonomous networks

    

Press Release

Nokia, Databricks demonstrate unified data platform for autonomous networks

• Proof of concept validates cloud-agnostic approach for network operators to scale AI-driven operations, deploy real-time analytics without rewriting code.
  
  

24 June 2026 

Espoo, Finland – Nokia and Databricks today announced the successful completion of a joint proof of concept (PoC) demonstrating a unified, substrate-agnostic data platform designed to support AI-driven autonomous networks. The collaboration shows how telecommunication providers can simplify fragmented data environments and deploy real-time analytics at scale, enabling faster decision-making, improved network performance, and more efficient operations.

 

The PoC addresses a long-standing industry challenge: Telecom networks typically rely on hundreds of siloed operational and business support systems, each with its own data architecture, making it difficult to apply AI consistently across domains. To truly harness AI and multi-agent systems, operators need a common data platform that can run seamlessly across different cloud environments or on-premise infrastructure, without the need to rewrite code.

 

The POC confirmed Databricks and Nokia’s ability to develop a joint architecture that efficiently handles the massive scale and real-time ingestion speeds required to feed network data to AI agents for automated, cross-domain decision-making.

 

“Teaming up with Databricks represents a big step as we work toward building the types of data foundations required for next-generation autonomous networks. By enabling a common, flexible data platform across cloud environments, we can help operators accelerate the adoption of AI and create more efficient, resilient and sustainable networks,” said Oguz Sunay, CTO AI and Autonomous Networks, Nokia.

 

“Telecom operators are managing increasingly complex networks and need a more consistent way to harness their data. Our collaboration with Nokia demonstrates how a unified data platform can help simplify operations and unlock the value of AI across network domains,” said Nevash Pillay, Global Head of Telecommunications Industry, Databricks.

 

About the POC

Engineering teams from Nokia and Databricks focused on a real-time performance management use case, simulating analytics ingestion with an intent to scale quickly to match tier-1 operator scale in the cloud. Their work delivered several key technical breakthroughs designed to simplify how telecom operators build and run data-driven services across different environments:

 

• Cross-platform data pipelines, without coding complexity: Data pipelines were created once and deployed across different platforms without modification. In trials, the same data workflows ran seamlessly on both Databricks and an open-source stack based on Apache Flink, Kafka, and Iceberg, supporting real-time streaming, batch processing, and query-time data products.
  
  
• Vendor-neutral data logic design: To avoid lock-in to any single platform, Nokia engineers developed transformation logic using an abstract, platform-independent expression in Python. By separating the core logic from platform-specific connectors, the same data workflows could be reused across multiple environments.
  
  
• Automated deployment across environments: The teams validated a custom compiler that automatically adapted workflows at deployment. Based on the target environment, it translated the abstract logic into native formats — such as Delta Live Tables for Databricks or Flink SQL for open-source systems — and added the platform-specific connectors, eliminating manual rework and accelerating time to deployment.
  
  
• AI-powered creation of new data products: The project also showcased how AI can streamline operations. Using simple natural language prompts, an intelligent data fabric agent can generate new data products, request human validation, and deploy the pipeline automatically, resulting in faster innovation with less manual effort. In the agentic world, the same mechanism can be leveraged by other agents to create dynamic data products on demand by communicating (agent to agent) with the data fabric agent.
  
  
• Data fabric built for the agentic world:
  
  
  • Query-time data products computing derived metrics, applying filters, aggregating, enriching, or joining data on read instead of duplicating it.
  • Zero-copy sharing, making cross-domain data consumption lightweight and real-time.
  • A mechanism to selectively feed upper temporal layers in the cloud, where agents run retrospective tasks like root-cause analysis on past events.

 

Moving ahead

Nokia and Databricks plan to continue their collaboration around enhancing autonomous network capabilities, helping operators transition to a future where AI applications increasingly access, correlate, and act on large-scale network data in real time.

 

Multimedia, technical information and related news

Web Page: Autonomous Networks | Nokia

 

About Nokia 

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile, and transport networks, we’re advancing connectivity to secure a brighter world.

 

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Lakebase, Genie, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

 

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Nokia advances autonomous networks portfolio with upgraded agentic AI capabilities #DTW26

    

Nokia advances autonomous networks portfolio with upgraded agentic AI capabilities #DTW26

• As AI becomes the dominant workload of the network economy, Nokia’s new software and agentic frameworks help telecom providers improve network performance, reliability, and operational efficiency at scale.
• Holistic approach covers Autonomous Networks Agent Library, Autonomous Networks Suite, MantaRay SMO, and new AI-driven frameworks for IP, fixed, and optical networks.

 

23 June 2026 

Espoo, Finland – Nokia today announced multiple upgrades to its autonomous networks portfolio, introducing a comprehensive set of agentic AI capabilities designed to help telecommunication providers simplify operations, improve network performance, and respond more effectively to increasingly complex and dynamic traffic demands.

 

At DTW in Copenhagen, Nokia rolled out a new Autonomous Networks Agent Library, released the latest version of its Autonomous Networks Suite, enhanced RAN automation, and showcased new AI-driven frameworks for IP, fixed, and optical networks. Together, these capabilities enable operators to phase in various elements of AI and agentic automation across the stack, while maintaining operational control and trust in live network environments.

 

“As networks evolve from static infrastructure into programmable, AI-native platforms, there’s growing pressure to manage unpredictable traffic patterns driven by AI-intensive workloads. Our latest advancements are designed to help operators move toward higher levels of network autonomy, resulting in faster decision-making, automated operations, and more efficient use of network resources,” said Pallavi Mahajan, Chief Technology and AI Officer, Nokia.

 

Portfolio details

 

Nokia’s Agent Library delivers pre-built AI agents that combine sophisticated reasoning, autonomous action, and deep telco expertise to solve high-value operational problems across security, assurance, and service operations. With built-in observability, governance, and “glass box autonomy,” these agents help operators make faster, context-aware decisions in dynamic live network conditions. This includes identifying zero-day attacks, reasoning through complex anomalies, event triage for root cause analysis, troubleshooting service order failures, and multi-agent coordination. Productivity gains typically range from 60 to 80% when compared to traditional operations.

 

“Autonomous networks are critical to the future of telecoms, and agentic AI is a key enabler for autonomous networks. This is a complex space where telcos need partners with the deep domain expertise to ideate, integrate, and manage agents across their varied network and IT domains. Nokia’s approach to apply agentic AI across its portfolio meets its customers where they are, and is already achieving quantifiable business value,” said Chris Silberberg, Research Manager, Global Telecom Operations and Monetization at IDC.

 

Autonomous Networks Suite introduces on-premise deployment options and new use cases designed to improve business outcomes, including improved VoLTE service quality, enhanced observability, and optimized subscriber experience in radio access networks. By turning real-time network intelligence into automated operational actions, these capabilities help operators boost service performance, respond faster to operational issues, and deliver more reliable customer experiences.

 

Nokia’s MantaRay SMO solution, which fully aligns with Open RAN standards and delivers field-proven multi-vendor capabilities for traditional RAN, now features Non-Real-Time RIC functionality, with AI-enabled rApps that manage complex radio networks, detect anomalies, and support dynamic network slicing. It is ready for deployment at scale and capable of handling the most extreme network environments. Nokia is working with leading operators, including NTT DOCOMO, to advance SMO-driven autonomy through MantaRay SON, AutoPilot trials, and future Non-RT RIC and rApp development. Learn more.

 

In parallel, upgrades to Nokia’s agentic AI framework for IP, fixed, and optical networks include:

• IP: Nokia’s Network Services Platform (NSP) lets operators deploy AI agents that can reason using real network context, supporting collaborative operations across agents and allowing guided actions within defined policies and security boundaries. Its first application, an AI-driven troubleshooting agent, helps operators accelerate root-cause identification, reduce alert noise, and improve the accuracy of remediation actions in complex IP networks.
• Fixed: New agentic AI capabilities in Nokia’s Altiplano, Corteca, and Broadband Easy platforms are helping drive productivity and operational intelligence across home and broadband networks. Benefits include lifting first-contact helpdesk resolution rates above 50%, network incident qualification within five minutes, and a 50% reduction in return visits to construction sites and connected homes. Learn more.
• Optical: Nokia’s new WaveSuite agentic framework for optical network operations and intelligent analytics provides proactive detection of KPI anomalies and photonic equipment failures before they affect service performance. Combining WaveSuite’s operational reasoning and real-time network insights with NSP agentic framework allows network operators to accelerate root-cause analysis, reduce troubleshooting complexity, and improve remediation accuracy holistically across the IP and optical domains.
  

Addressing a key industry challenge

These advancements address a key industry challenge: applying AI in network operations in a way that is practical, controlled, and aligned with operational requirements. By embedding AI capabilities directly into existing network management platforms, Nokia enables operators to adopt automation at their own pace, scaling use cases over time.

 

For operators, the benefits include faster resolution of network incidents, improved operational efficiency, and greater service reliability. End users experience more stable connectivity and reduced service disruptions, with consistent digital experiences across consumer and enterprise applications.

 

Nokia’s latest innovations are designed for deployment across global markets, supporting leading and emerging operators as they transition toward fully autonomous networks capable of operating at machine speed and adapting continuously to evolving demands.

 

Nokia at DTW

At DTW, visitors to Nokia’s booth (Hall C3; Stand 306) will experience how to build autonomous networks for the AI era, with multiple demonstrations spanning agentic AI and network autonomy, cross-domain assurance and orchestration, digital twins, AI Ops, and agentic capabilities across IP, optical and fixed networks, as well as autonomous RAN operations.

 

Multimedia, technical information and related news

Web Page: Autonomous Networks | Nokia

 

About Nokia 

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Nokia announces major expansion of U.S. semiconductor advanced test and packaging in Pennsylvania to bolster AI growth

    

Press release

Nokia announces major expansion of U.S. semiconductor advanced test and packaging in Pennsylvania to bolster AI growth

• Nokia expands U.S.-based advanced test and packaging operations, critical to the production of photonic chips that will power AI-native networks, with lower power consumption and greater operational efficiency.
• Investment strengthens U.S. domestic production of critical optical networking technologies powering AI infrastructure.
• Announcement 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.
  
  

16 June 2026

Allentown, Pennsylvania – Nokia today announced a major expansion of its advanced test and packaging (ATP) operations in Allentown, Pennsylvania. The investment will increase domestic production capacity of the optical networking technologies that power scalable AI infrastructure connectivity across the United States. The expansion is expected to nearly double Nokia’s Pennsylvania workforce to more than 500 jobs in engineering, manufacturing, and R&D, while generating a projected economic impact of more than $500M over the next five years.

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.

About Nokia

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Nokia introduces agentic AI framework in Network Services Platform to enable trust-based AI operations for IP networks

    

Nokia introduces agentic AI framework in Network Services Platform to enable trust-based AI operations for IP networks

 

• Nokia NSP adds an agentic AI framework that lets operators deploy AI agents grounded in a real-time, accurate network view — enabling them to reason based on trusted data and take guided, explainable actions within operator-defined policies and security boundaries.
• Nokia AI-driven Troubleshooting Agent accelerates root-cause analysis, reduces operational noise, and turns complex IP issues into guided, explainable workflows.
• Framework supports communication with external agents via new AI-based protocols across operators’ multi-vendor, multi-domain networks, empowering them on their journey toward fully autonomous networks.
  
  

 

11 June 2026 

 

Espoo, Finland – Nokia today announced an enhancement to its Network Services Platform (NSP), the company’s comprehensive management and automation platform for multi-vendor IP networks, with the introduction of an agentic AI framework designed specifically for IP network operations. The new framework enables network operators to deploy AI agents that can reason over real network context and take guided actions within defined policy and security boundaries.

As IP networks grow in size and complexity with the rise of AI traffic, operators face increasing pressure to improve efficiency and reliability while maintaining full operational control. While AI has the potential to transform network operations, many operators have remained cautious due to concerns around explainability, trust, and risk in production environments. Nokia’s approach with NSP addresses these concerns by embedding agentic AI capabilities directly into the platform that already serves as the authoritative controller for IP networks.

“Appledore has been advocating for operators to focus on the primary importance of quality data and ontological relationships – which are proving far more important than specific AI models for efficient and accurate AI reasoning.  Nokia’s NSP embraces this approach with extensive AI-native infrastructure built on trusted data and operating norms, providing a solid and secure foundation for a myriad of AI use cases. Domain expertise is likely the most critical quality in designing effective automation for complex networks,” said Grant Lenahan, Partner and Principal Analyst, Appledore Research.

NSP grounds AI agents in an accurate and continuously updated view of the network, including topology, protocol behaviour, configuration state, service relationships, and recent network changes. This enables AI agents to reason based on network truth, rather than inferred or fragmented data, and to operate within operator-defined intent, policies, and access controls. The NSP agent framework also allows for communication with external agents via AI-based protocols, such as Model-context protocol (MCP), across operators’ multi-vendor, multi-domain networks empowering them on their journey toward fully autonomous networks.

The first use case built on this new framework is an AI-driven Troubleshooting Agent, aimed at helping operators identify root causes faster, reduce operational noise, and resolve complex IP network issues with greater confidence. This marks a significant step in Nokia’s strategy to help operators adopt AI safely, incrementally, and at scale in live networks.

“The industry is moving quickly toward AI-native operations, but trust remains the deciding factor. We are enhancing NSP with AI agents built on an agent framework in a way that respects how networks are actually operated. This will have a major impact on the way operators manage their networks and will enable them to enhance their operations significantly and accelerate their journey toward autonomous networks with focus on solving real operational problems, starting with high-impact use cases like troubleshooting. This is an incremental, pragmatic step toward AI‑native networks,” said Sasa Nijemcevic, Vice President and General Manager, IP Network Automation software unit, Nokia.

For network operators, the new agentic framework provides a flexible foundation to introduce multiple AI use cases over time without creating siloed solutions. Operators can start with focused, high-confidence scenarios and gradually expand the role of AI as trust builds, using a shared framework that enforces consistent governance and operational controls.

End-users also benefit from this evolution through faster fault resolution, improved service reliability, and reduced likelihood of prolonged or cascading outages—delivering better experiences without increasing operational risk.

This enhancement to NSP, which will be commercially available by the end of 2026, reinforces Nokia’s commitment to enabling trusted, AI‑native network operations, and to helping operators translate AI innovation into real, measurable operational outcomes.

Multimedia, technical information and related news

Webpage:       Nokia Network Services Platform

Blog:              Bringing trusted agentic AI into IP network operations

White paper:   Agentic AI transforms operations in IP networks

 

About Nokia 

 

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile, and transport networks, we’re advancing connectivity to secure a brighter world.

 

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Nokia and Indosat Ooredoo Hutchison collaborate to enhance Indonesia’s 5G network and unlock AI-enabled services

    

Nokia and Indosat Ooredoo Hutchison collaborate to enhance Indonesia’s 5G network and unlock AI-enabled services

• Agreement supports low-and mid-band 5G rollout across Indosat’s network, serving customers nationwide
• Partnership accelerates new AI-driven services, digital experiences and sustainable growth across Indonesia
• AI-ready 5G network will enable AI-RAN architecture and AI Grid deployment in collaboration with NVIDIA, bringing AI and connectivity closer to every Indonesian

Espoo, Finland – Nokia and Indosat Ooredoo Hutchison (Indosat or IOH) announced a partnership to modernize Indosat’s nationwide mobile network in Indonesia through the deployment of advanced 5G Radio Access Network (RAN) technologies. As a key technology partner, Nokia will support the rollout of low- and mid-band 5G to help build high-performance, AI-ready networks designed to deliver a more seamless, reliable, and responsive digital experience for customers.

 

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.

 

Justin Hotard, President and CEO of Nokia, said: “The next phase of network evolution will be defined by how well operators combine connectivity, intelligence and scale. Together with Indosat and NVIDIA, Nokia is helping build a network that can do exactly that — one that expands 5G, enables new AI-driven services and creates long-term value. This partnership reflects a broader shift in the industry, as operators invest in networks that deliver high performance at scale while supporting greater efficiency, new business models and digital growth.”

 

Vikram Sinha, President Director and CEO of Indosat Ooredoo Hutchison, said: “At Indosat, we continuously evolve to serve our customers #LebihBaik by understanding their needs more deeply and delivering experiences that truly matter to them. Together with Nokia and NVIDIA, we are building a reliable and AI-ready network foundation that will elevate connectivity and create a more seamless digital experience for every customer. This collaboration strengthens our readiness for the next phase of digital innovation while reinforcing our commitment to empowering Indonesia through inclusive and sustainable digital transformation.”

 

Ronnie Vasishta, SVP Telecoms, NVIDIA: “Indosat and Nokia are showing what it looks like when a 5G network becomes the platform for intelligence. By building on our AI-RAN work together and moving toward field trials in Indonesia, we are helping create an architecture where AI and connectivity can work side by side to improve efficiency, enable new applications and support digital transformation at scale.”

 

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.

 

Multimedia, technical information and related news

Web Page: Advanced 5G

Web Page: Radio Access Networks

Blog: Nokia AI-RAN

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  

About Nokia 

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile, and transport networks, we’re advancing connectivity to secure a brighter world.

 

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