What is AI networking?
Building AI-ready infrastructure and intelligent network operations
AI networking has two connected meanings: building the high-performance connectivity that AI workloads depend on and using artificial intelligence to operate, optimize and assure networks. AI applications require unprecedented amounts of power and generate massive volumes of traffic, increasing the need for scalable, high-performance connectivity across distributed data centers, cloud platforms, edge locations and subscriber networks. At the same time, AI can help monitor complex environments, detect anomalies and identify faults across multiple network domains. Together, these two dimensions are reshaping how networks are built and operated, requiring both stronger infrastructure foundations and greater intelligence in network operations.
Moving AI traffic at scale
AI workloads require high-capacity, low-latency, lossless connectivity and precise synchronization to ensure distributed systems operate consistently and reliably as a single platform.
By bringing high-performance infrastructure and intelligence together, AI networking helps hyperscalers and cloud providers scale for growing AI traffic while operating networks more efficiently.
Operational intelligence across the network
AI-driven visibility across network layers enables earlier issue detection, faster root-cause analysis and more informed operational decisions.
How AI is reshaping networks
The rise of AI workloads places new demands on network infrastructure. Training, inference and AI-enabled applications depend on large-scale traffic between compute, storage, cloud, edge and end-user environments. As these workloads become more distributed, data center operators need high-speed interconnects and lossless fabrics that are easy to control and troubleshoot. AI networking addresses this challenge by combining high-capacity, energy-efficient infrastructure with the visibility and automation needed to manage these complex environments without scaling cost and personnel at the same pace.
Supporting AI-driven demand
AI workloads generate large-scale, distributed traffic flows, requiring scalable optical transport and precise timing across the network.
AI networking from infrastructure to operations
AI networking brings together high-performance infrastructure and intelligent operations across the entire network. Our open optical networking technology provides the foundation for AI-driven traffic, supporting scale-out, scale-across and DCI connectivity, while our synchronization and timing solutions ensure precise, reliable performance across distributed environments. Adtran also applies cross-domain AI to simplify operations, identify root causes faster and improve service assurance across multiple layers. Together, these capabilities help data center operators build networks that are more automated, resilient and ready to support AI-driven traffic growth.
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