Details
- NVIDIA released an open-source Nemotron-based large telco model (LTM), a 30-billion-parameter model fine-tuned to understand telecom terminology and reason through network workflows like fault isolation and remediation planning.
- The company launched NVIDIA Blueprints for energy efficiency and network configuration with multi-agent orchestration, designed to help telecom operators shift from automation to true autonomy in network management.
- NVIDIA and Tech Mahindra published an open-source guide showing operators how to fine-tune reasoning models and build AI agents for network operations center (NOC) workflows, teaching models to reason like network engineers.
- Early adopters include Cassava Technologies (building autonomous networks for Africa), NTT DATA (optimizing traffic regulation in Japan), and Telenor Group (enhancing 5G networks with multi-agent orchestration via BubbleRAN).
- The resources are being released through GSMA's new Open Telco AI initiative, providing transparent, on-premises deployment options that let telcos control their data and maintain security while building autonomous operations.
Impact
This marks a fundamental shift in telecom infrastructure from reactive manual management to proactive, intent-driven autonomy. By democratizing access to specialized reasoning models and blueprints, NVIDIA positions itself as the enabler of autonomous networks across the industry—a critical advantage as operators prioritize network automation as their top AI investment. The move accelerates the path to AI-native 6G systems and enables telcos to reduce energy consumption and operational complexity while maintaining service quality.
