Nebula Telecom Large Model Opens a New Chapter in High-Level Autonomous Networks

The new wave of technological revolution and industrial transformation is reshaping the global innovation landscape at an unprecedented pace.

The rise of AI, particularly large language models (LLMs), is driving society toward an era of AI democratization. In the field of communications, AI large models have become a core technological driver, enabling the evolution of Autonomous Networks to Level 4 and beyond.

ZTE has been advancing the application of AI technology in operators’ O&M scenarios, driving a paradigm shift in AI. Through innovations in AI large models, agents, and digital twins, ZTE helps operators optimize and automate processes, significantly enhancing the automation and intelligence of network O&M and facilitating the evolution toward "Agentic Operation."

Leveraging its self-developed Nebula Telecom Large Model, ZTE applies domain-specific knowledge for model pre-training and reinforcement learning, while integrating technologies such as knowledge graphs, structured data AI models, and digital twins to effectively mitigate the hallucination issues commonly associated with LLMs. Simultaneously, the knowledge flywheel mechanism enables online iteration and scenario-based generalization, bridging the gap between general-purpose LLMs and domain-specific requirements, and gradually turning them into new productive forces for operators.

At the beginning of this year, ZTE upgraded its autonomous network solution, AIR Net (also known as AI Reshaped Network), built on the Nebula Telecom Large Model, big data, and digital twin engines, to drive the intelligent transformation of infrastructure and both single-domain and cross-domain operations. Through open decoupling, ZTE helps operators transition from fragmented AI implementations to fully integrated, end-to-end intelligent systems. Based on this, ZTE focuses on high-value scenarios for operators, establishing a value assessment system and relevant case studies to achieve measurable business outcomes such as improved service quality, increased revenue, cost reduction, and efficiency improvements, ultimately realizing a business closed loop.

Looking ahead, ZTE will continue to build on communications-centric large models, deepen collaboration with global industry partners, jointly advance AI large model technologies, explore new value propositions, foster an open and mutually beneficial ecosystem, and contribute to the digital and intelligent transformation of operators' networks.