How do Nokia networking technologies enable AI?

Nokia networking technologies enable AI by providing high-performance connectivity for AI workloads, supporting AI processing and capabilities closer to the edge, and applying AI to network operations. Nokia technologies span IP, optical, data center, wireless, and network automation environments, helping connect distributed infrastructure and move data where and when it is needed.

AI-RAN combines artificial intelligence with radio access network technologies to improve wireless network performance and support AI-enabled applications. AI can be used to optimize radio network performance, while network and compute resources can support capabilities such as edge inference, intelligent sensing, and other AI-enabled applications.

AI-ready networks for government missions

Q: How does Nokia Federal enable AI for U.S. government agencies?

Nokia Federal brings Nokia networking technologies to U.S. government agencies to help enable AI across mission environments. Nokia supports AI through three areas: networks for AI, which provide the connectivity AI workloads require; AI in the network, which brings AI-enabled capabilities into network environments; and AI for the network, which applies AI and automation to improve network performance and operations.

Q: Why is networking important for AI?

AI applications depend on networks to move data between compute resources, storage, applications, devices, users, and edge environments. As AI workloads become larger and more distributed, networks must provide the capacity, low latency, scalability, reliability, and resilience required to connect these resources efficiently.

Q: How can AI be used at the tactical edge?

AI inference at the tactical edge brings processing closer to users, sensors, devices, and mission environments. Combining edge computing with high-performance networking can reduce the need to send every workload to centralized infrastructure, helping enable faster access to AI-generated insights and decisions closer to the point of need.

Advancing government missions with AI and networking

AI is changing both what government networks must support and what networks themselves can do. As agencies adopt AI across data centers, operational environments, and the tactical edge, networks must deliver the capacity, performance, resilience, and security these capabilities demand.

Nokia Federal brings proven networking innovation to U.S. government agencies—building the network foundation for AI workloads, bringing AI capabilities into the network and closer to the mission, and applying AI to simplify and optimize network operations.

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How Nokia enables AI-powered government missions

AI is changing the role of the network—from the infrastructure that connects AI workloads to an intelligent platform that can support new capabilities and increasingly automate its own operations.

Networks for AI

Support demanding AI workloads with high-performance networking that connects data, compute, applications, and users across distributed environments.

AI in the network

Bring intelligence closer to the mission with AI-RAN, edge inference, intelligent sensing, and emerging AI-enabled network applications.

AI for the network

Use AI-driven analytics and automation to optimize performance, simplify operations, and make networks more adaptive and autonomous.

Built for mission-critical environments

1

Secure by design

Security built into the network architecture to help protect mission data, applications, users, and workloads.

2

Resilient under pressure

High-performance networking designed to maintain connectivity and move mission data across demanding and distributed environments.

3

Performance where it matters

Deliver the capacity and low latency needed to support demanding applications and mission operations.

4

Built for distributed missions

Connect data, applications, users, and compute across data centers, campuses, field locations, and the tactical edge.

5

Ready to scale

Adapt network capacity and capabilities as mission requirements, workloads, and operational environments evolve.

AI-enabled mission use cases

Discover how AI and advanced networking can help federal agencies modernize infrastructure, extend intelligence to the edge, automate network operations, and support evolving mission requirements.

AI at the tactical edge

Bring AI processing and inference closer to the point of need to enable faster insights and mission decisions in distributed and tactical environments.

AI-ready data centers

Connect compute and data across distributed environments with the high-capacity IP and optical networking required for demanding AI workloads.

AI-RAN and intelligent sensing

Use AI to enhance wireless network performance and enable emerging capabilities including edge inference, intelligent sensing, and dynamic spectrum optimization.

Autonomous network operations

Apply AI-driven analytics and automation to simplify operations, optimize performance, identify network issues, and reduce operational complexity.

Products

AI-RAN

Transform radio networks with Nokia’s industry-first AI-native RAN platform.

Artificial intelligence

Power networks and applications for the AI era.

IP networks and AI

Scale high-performance IP networks for AI workloads.

Building optical networks for AI, with AI

Scale optical networks for AI with AI-powered automation.

AI data center networking

Deliver high-performance, scalable networking for demanding AI workloads.

AI in radio network operations

Enhance radio network performance and efficiency with AI-powered automation.

Fixed access network automation

Analyze, optimize and automate fixed access networks with AI.

AI and analytics

Unlock network intelligence with AI, analytics and advanced automation.

Frequently asked questions about AI-ready networks

What is an AI-ready network?

An AI-ready network provides the high-performance connectivity, capacity, resilience, security, and automation needed to run AI workloads. For U.S. government agencies, AI-ready networking can connect data, compute, applications, and users across data centers, campuses, operational environments, and the tactical edge.

How does Nokia Federal enable AI for U.S. government agencies?

Nokia Federal provides Nokia’s portfolio of networking solutions to U.S. government agencies to build AI training and inferencing data centers, interconnect AI data centers and supercomputers over fiber optics, build tactical wireless networks to collect sensing and other data for AI-driven analysis.

What are the ways Nokia Federal enables or uses AI in its solutions?

Nokia Federal Solutions brings Nokia’s AI-enabled networking technologies to U.S. government customers across three areas: networks for AI, which provide the connectivity AI workloads require; AI in the network, which uses AI processing to improve network performance and efficiency; and AI for the network, which uses AI models to automate and simplify network operations.

What is the difference between networks for AI, AI in the network, and AI for the network?

Networks for AI provide the high-performance connectivity needed to connect compute to run AI workloads and connect sensors to collect data for AI-driven analysis. AI in the network brings capabilities such as AI-RAN, edge inferencing, and intelligent sensing into the network. AI for the network uses AI-driven analytics to automate network operations and performance.

How do Nokia networking solutions enable AI?

Nokia networking solutions enable AI by providing high-performance data center switching inside AI data centers, switching between data centers, and optical transport between data centers. Nokia tactical wireless solutions enable sensor data collection for AI processing at the edge. Nokia technologies span IP, optical, data center, wireless, and network automation environments, helping connect distributed infrastructure and move data where and when it is needed.

Why is networking important for AI?

AI training and inferencing requires high capacity networks to connect compute resources and collect sensing data for AI-driven analysis. As AI workloads become larger and more distributed, networks must provide the capacity, low latency, scalability, reliability, and resilience required to connect these resources efficiently.

How can Nokia Federal support AI workloads in government data centers?

Nokia Federal provides high-performance IP, optical, and data center networking technologies that can connect compute, storage, applications, and distributed data center infrastructure supporting AI workloads. These networks provide the capacity, scalability, low latency, and resilience needed to move large volumes of data efficiently across AI environments.

How can AI be used at the tactical edge?

AI inferencing at the tactical edge brings processing closer to users, sensors, devices, and mission environments. Combining edge computing with high-performance networking can reduce the need to send every workload to centralized infrastructure, helping enable faster access to AI-generated insights and decisions closer to the point of need.

What is AI-RAN?

AI-RAN uses AI processing to optimize RAN processing and improve performance and spectral efficiency using off-the-shelf GPUs. AI-RAN also provides network and compute resources that can support capabilities such as edge inferencing, intelligent sensing, and other AI-enabled applications.