IP networks and AI

AI workloads can exist anywhere in the network: on user devices, on enterprise premises, in private or public cloud datacenters near end users or further away in centralized locations. Deciding where to locate AI workloads will depend on a variety of considerations.  

• Mission-critical AI applications for large enterprises, industries and verticals such as manufacturing, education, finance, healthcare, transport and government that process private and sensitive data should be hosted in the enterprise cloud, within the confines of a Local Area Network or a secure (Virtual) Private Network with quantum-safe data cryptography.
• High-bandwidth, low latency applications such as AI vision or interactive multimodal content generation are best placed at the network edge. This will minimize data transport costs and exposure to network congestion or security risks (Denial of Service attacks, hacking or eavesdropping).
• Other AI workloads can be hosted on bare metal servers equipped with GPUs in edge colocation datacenters (GPU-as-a-Service, AI-as-a-Service), or in the public cloud (e.g., Google cloud, Apple cloud, Microsoft Azure).

Time to market and flexibility are key in the AI era. Most AI applications are cloud-native and container-based to allow for a rapid and optimal deployment of AI workloads anywhere. IP networks built for AI must facilitate dynamic workloads by offering the network “as-a-Service”.

What do all these new requirements mean for the IP network? To serve billions of AI queries each day, a rock-solid, high-performance IP network is needed. And given the distributed nature of the AI edge, connections between an increasing number of locations will be necessary to support application needs.

Is your IP network fit to meet these challenges?

Nokia is a global leader in IP network technology with a pedigree in designing high-performance routing platforms for the world’s most demanding operators and mission-critical applications.

We can help you:

• Build an IP network that puts you on a solid footing to deliver the value of AI applications to all its users.
• Secure your IP network to create a reliable and safe environment for AI applications and all its users.
• Operate your IP network, leveraging AI to automate and scale operations and better serve your customers.

As millions of IoT devices and AI users connect with data centers over gigabit uplinks, the attack surface for hackers and malware grows – as does the risk of DDoS attacks.

Nokia Deepfield Defender lets you detect, analyze and mitigate DDoS attacks by combining the power of AI-driven big data technology with state-of-the-art Nokia FP routing silicon. The Deepfield anti-DDoS solution transforms your IP network into a shield against DDoS from compromised user devices and IoT botnets that are weaponizing AI technology to disrupt your services.

The Nokia Deepfield portfolio of AI-driven big data analytics and security applications provides holistic and multidimensional insights into how applications, services and content are delivered from the internet and consumed by subscribers. Additionally, Nokia Deepfield applications can be used to produce high-quality network- and consumption-related data for future AI telco applications.

Many AI applications rely on exchanging highly sensitive, valuable or private data that may be compromised by hacking, eavesdropping or man-in-the-middle attacks. Nokia Quantum-Safe Networking (QSN) adds quantum-safe network cryptography, in a layered defense-in-depth approach. This can safeguard the confidentiality, integrity and authenticity of data traversing the network, even as the quantum landscape evolves.

As networks scale in size, complexity and dynamicity, network operations can benefit from AI – across the management of your network’s entire lifecycle.  

• AI can augment the expertise of operations staff to accelerate service delivery to your customers. Generative AI (GenAI) can assist with streamlining processes and simplifying complex tasks such as network programming and troubleshooting.
• AI can also augment the acuity of operations staff to ensure optimized network performance and continuous adherence to SLAs. Predictive AI uses traditional AI and machine learning to analyze vast amounts of real-time telemetry data collected from the network to accelerate troubleshooting and help predict and mitigate potential disruptions before they escalate, impact services and cause network downtime.

The Nokia Network Services Platform helps you transform your business for success today and into the future. By evolving and automating your network infrastructure and operational capabilities, you leverage the benefits of AI networking on your journey toward autonomous networks that can sense, think and act.

With Nokia IP networks, built for and powered by AI, you have the high-performance routing, security and AI-enhanced operations needed to confidently adopt AI and other technology innovations into your business. Unleash the power of AI to boost your productivity and creativity with Nokia IP networks.