NVIDIA AI & Telco Networks: Automation Blueprint
- NVIDIA has introduced its AI Blueprint for telco network configuration, designed to automate optimization processes and reduce costs for telecom companies.
- telecom companies face challenges in operating networks that require continuous optimization, leading to notable capital and operating expenditures.
- The AI Blueprint uses customized large language models trained on telco network data.
NVIDIA is revolutionizing telecom with its AI Blueprint, unveiled at GTC Paris, designed too automate and optimize network configuration. This innovative approach leverages agentic AI and customized large language models, promising substantial cost reductions and improved service quality for telecom companies. The AI Blueprint, available on build.nvidia.com, empowers developers and network engineers to streamline operations. Telenor Group is the first to integrate this technology, enhancing their intelligent, autonomous networks. Moreover, News Directory 3 is following the story, as NTT Data, TCS, Prodapt, Accenture, and infosys are already deploying their NVIDIA-powered technologies. This blueprint marks a shift to dynamic, AI-driven automation in the telco sector. Discover what’s next in this exciting space.
NVIDIA AI Blueprint Automates Telco Network configuration
Updated June 11, 2025
NVIDIA has introduced its AI Blueprint for telco network configuration, designed to automate optimization processes and reduce costs for telecom companies. The declaration was made at GTC Paris.
telecom companies face challenges in operating networks that require continuous optimization, leading to notable capital and operating expenditures. Last year, these expenses totaled nearly $295 billion and over $1 trillion, respectively.
The AI Blueprint uses customized large language models trained on telco network data. this creates an autonomous, goal-driven AI agent for telecom providers. The blueprint, available on build.nvidia.com, includes reference code, documentation, and deployment tools.
Built with BubbleRAN 5G solutions and datasets, the AI Blueprint enables developers, network engineers, and telecom providers to automatically optimize network parameters using agentic AI. This streamlines operations, reduces costs, and improves service quality by embedding continuous learning and adaptability into network infrastructures.
traditionally, network configurations required manual intervention or followed rigid rules. The new blueprint shifts telco operations to dynamic, AI-driven automation, allowing developers to build advanced, telco-specific AI agents that make real-time, intelligent decisions.
Telenor Group, serving over 200 million customers globally, is the first telco to integrate the AI Blueprint for telco network configuration. This is part of its initiative to deploy intelligent, autonomous networks.
“The blueprint is helping us address configuration challenges and enhance quality of service during network installation,” said Knut Fjellheim, chief technology innovation officer at Telenor Maritime. “Implementing it is part of our push toward network automation and follows the successful deployment of agentic AI for real-time network slicing in a private 5G maritime use case.”
NTT Data is powering its agentic platform for telcos with NVIDIA accelerated compute and the NVIDIA AI Enterprise software platform. Tata Consultancy services is delivering agentic AI solutions for telcos built on NVIDIA DGX Cloud and using NVIDIA AI Enterprise. Prodapt has introduced an autonomous operations workflow for networks, powered by NVIDIA AI Enterprise. Accenture announced its new portfolio of agentic AI solutions for telecommunications through its AI Refinery platform, built on NVIDIA AI Enterprise software and accelerated computing.Infosys is announcing its agentic autonomous operations platform, called Infosys Smart Network Assurance (ISNA).
What’s next
NVIDIA continues to drive advancements in AI for the telecom industry, with ongoing developments expected to further enhance network automation and customer experiences.