LLMs and Optical Networks: A Symbiotic Relationship
2026-06-29 • Networking and Internet Architecture
Networking and Internet Architecture
AI summaryⓘ
The authors discuss how large language models (LLMs) and optical networks are starting to work closely together. Training these big LLMs across many locations needs advanced optical network technology, which relies on new tools like WAN-aware congestion control, ZR+ pluggable modules, and hollow core fibers. At the same time, LLMs can help make optical networks smarter by managing them more independently. The paper looks at both sides of this relationship.
Large Language ModelsOptical NetworksGeo-distributed TrainingWAN-aware Congestion ControlZR+ PluggablesHollow Core FibersAutonomous Network ManagementOptical TransportNetwork Algorithms
Authors
Mëmëdhe Ibrahimi, Qiaolun Zhang, Giovanni S. Sticca, Jiaheng Xiong, Francesco Musumeci, Massimo Tornatore
Abstract
This paper explores the emerging symbiosis between LLMs and optical networks. Massive LLMs require geo-distributed training, which demands advanced optical transport capabilities that require new key technical enablers, as WAN-aware CCL algorithms, ZR+ pluggables, and Hollow Core Fibers. Conversely, LLMs also enable new forms of autonomous network management.