Reliable AI and cloud networking

Uncompromising data center switching for the AI supercycle

Server rack cabinets connected by trailers of light

AI and cloud providers are racing to evolve, scaling their data center networks to meet the demands of AI workloads and applications. Hyperscalers, neoclouds, digital infrastructure providers and telecommunication providers all have ambitious plans to unlock AI value.

The AI supercycle is here, and it’s bringing a new wave of network connectivity requirements. There’s no room for hesitation, complexity, missteps or downtime. You need a modern data center network that will do everything better and faster, without the stress and confusion that comes with rapid change. Our goal is to ensure that networking never stands in the way of maximizing returns on your AI and cloud infrastructure investments.

Why dependable switching matters

Network limitations can stall AI progress: Even the most advanced AI investments fall short if the underlying network can’t handle performance and reliability expectations.
Operational complexity slows innovation: As data center environments evolve rapidly, dramatically simplifying operations is essential for deploying, managing and scaling AI workloads efficiently.
Infrastructure must keep pace with ambition: A future-ready network ensures you can fully capitalize on AI and cloud opportunities, without the risk of underperforming infrastructure holding you back.

Don’t let mistakes derail your AI and cloud ambitions

When it comes to seamlessly networking your AI infrastructure, reliability is an absolute priority. See how our Human Error Zero vision and data center switching solutions eliminate mistakes that result in downtime, compromise AI job completion time and degrade customer experience.

Network confession: Fat-fingered fail

One little typo can bring your production network to a halt. Discover how our data center networking solutions use instant rollbacks and smart checkpoints to stop bad configurations before they break things.

Network confession: A matter of trust

When so much is at stake in your network operations, it is essential you have faith in your infrastructure. See how our data center digital-twinning tools step up to save the day.

Network confession: Bad choices

Choosing yesterday’s data center switches can lead to serious regrets tomorrow. Find out why our reliable switches are the right choice for ensuring flawless data center network operations.

Four key principles for modern data center networking

To realize your AI and cloud ambitions, you need a data center network that delivers high performance with unshakeable resilience. Our data center switching solutions are built on four key principles that help you move fast with confidence, scale efficiently and adapt quickly to changing demands.

Agility is everything

Anticipate and embrace change with high-performance platforms, our open and extensible SR Linux network operating system (NOS) and advanced network visibility tools. Safely model changes, reduce risk and maintain stability as you evolve your infrastructure.

Complexity is the enemy

As AI and cloud environments scale, so does operational complexity. Interconnecting and operating expansive infrastructure calls for extreme network automation with seamless visibility. The Nokia Event-Driven Automation (EDA) platform simplifies operations, enhances visibility and helps eliminate human error while maximizing your investment value.

Availability is the best ability

AI data center networks must perform reliably at all times. Our solutions are designed to deliver maximum uptime, simplify operations and ensure your infrastructure meets performance expectations without disruption.

AI infrastructure is a team sport

Collaboration is key to success in the AI era. Our Nokia Validated Designs and AI Network Innovation Lab bring together ecosystem partners to test, validate and accelerate deployment of high-performance, reliable networks.

How can Nokia help you with your AI and cloud networking challenges?

We help you modernize and scale your data center network to meet the demands of the AI supercycle through innovative solutions that span data center fabrics, data center network automation, IP routing, optical transport, and network security.

Build a high-performance foundation for AI scale

Advance your network performance, efficiency and extensibility with our industry-leading IP routing portfolio. Powered by FP5 silicon and 800GE routing, our solutions deliver the scale and throughput needed for data center-gateway and WAN interconnection in AI-driven environments.

Increase visibility, control and resilience

Gain deeper insight into your network and respond faster to events or discrepancies with our open, extensible SR Linux network operating system. Enable advanced automation, improve operational visibility and prevent disruptions before they impact services.

Simplify operations with end-to-end automation

Reduce complexity and eliminate human error with Nokia Network Services Platform (NSP) and EDA platform. Seamlessly integrate automation into existing environments to streamline operations and accelerate network agility.

Protect your network against evolving threats

Safeguard your infrastructure with a multilayered defense against DDoS and emerging quantum threats. Nokia Deepfield Defender and our quantum-safe network solutions help ensure continuous, secure operations.

Accelerate transformation with trusted expertise

Work with a proven partner trusted to build mission-critical networks worldwide. Leverage fully validated designs co-developed with cloud and AI leaders in our AI Networking Innovation Lab to reduce risk and accelerate your deployment.

Future outlook

Nokia will continue to innovate across performance, automation and security dimensions to ensure your data center network evolves with AI. For AI to reach its full potential, it must be built on a resilient, adaptable and intelligently automated foundation. We believe agility is everything, complexity is the enemy and availability is the ultimate measure of success. We partner with industry leaders to deliver validated designs for demanding AI environments.

As a trusted partner to leading neoclouds and digital infrastructure providers, we combine proven expertise and industry-leading technologies to help you scale with confidence, reduce complexity and drive human error to zero, maximizing the value of your investments in the AI supercycle.

Case study

From GPU estate to sovereign AI cloud

Infographic

Human Error Zero

Customer success

Nokia and Nscale partner to accelerate AI infrastructure build-out

atNorth leaders explain how Nokia helps them deliver innovative and sustainable data center network operations.

Video

atNorth and Nokia partner to level up sustainable data center networking

Frequently asked questions

How can I ensure reliable networking for AI and cloud workloads?

Reliable AI networking starts with resilience, automation and visibility. As AI environments scale, small errors can cause major disruption.

By using automation, smart checkpoints, instant rollbacks and digital twin validation, you can prevent issues before they impact operations. Open, extensible systems help you adapt quickly while reducing complexity.

This combination of high-performance infrastructure and intelligent automation ensures consistent uptime, predictable performance and reliable AI job execution.

What are the key requirements for AI-ready data center networks?

AI-ready data center networks must deliver high performance, resilience and automation at scale. As the number and intensity of workloads continues to grow, networks need to handle massive data flows while maintaining consistent performance, high availability and maximum efficiency.
Key requirements include low-latency, high-throughput infrastructure; intelligent automation to reduce complexity and human error; and real-time visibility to monitor and manage performance.

Flexibility is also critical. Open, extensible platforms allow operators to adapt quickly to changing demands, integrate new technologies and support evolving AI applications.

Together, these capabilities help organizations scale the networks that support AI workloads with confidence, reduce operational risk and maximize the value of their infrastructure investments.