Digital Event Horizon
NVIDIA has unveiled its first AI Blueprint for telco network configuration, revolutionizing autonomous networks by providing a customized large language model and a full technical and operational architecture for turning it into an autonomous, goal-driven AI agent. This blueprint aims to automate optimization processes, save costs, and improve service quality by embedding continuous learning and adaptability directly into network infrastructures. With several industry partners already partnering with NVIDIA, this innovation promises to transform the way telecommunications companies manage their networks.
NVIDIA has unveiled its first AI Blueprint for telco network configuration, aiming to revolutionize network management with autonomous networks.The blueprint provides a customized large language model (LLM) and full technical architecture for building autonomous, goal-driven AI agents.Industry partners such as NTT DATA, Tata Consultancy Services, Prodadat, Accenture, and Infosys are leveraging NVIDIA's technology to develop breakthrough innovations in autonomous networks.The introduction of this AI Blueprint is timely, given the significant investments made by telecom companies in capital expenditures and operating expenses over the past year.Partnering with NVIDIA can reduce operational costs by up to 40% and shorten fault resolution times by up to 30%.
NVIDIA, a leading provider of cutting-edge artificial intelligence (AI) and high-performance computing solutions, has recently unveiled its first AI Blueprint for telco network configuration. This groundbreaking innovation aims to revolutionize the way telecommunications companies manage their networks, providing a recipe for building autonomous networks that can significantly improve network performance and efficiency.
The introduction of this AI Blueprint is particularly timely, given the vast investment that telecom companies have made in capital expenditures and operating expenses over the past year. In 2024, these costs totaled nearly $295 billion in capital expenditures and over $1 trillion in operating expenditures. While some of these expenses are due to laborious manual processes that telcos face when operating networks, which require continuous optimizations, the introduction of this AI Blueprint promises to address these challenges.
To automate these optimization processes and save costs for telco companies across the globe, NVIDIA has developed an agentic AI-based framework that can be deployed on the BubbleRAN 5G O-RAN platform. This framework provides telcos with a customized large language model (LLM) trained specifically on telco network data, as well as the full technical and operational architecture for turning the LLM into an autonomous, goal-driven AI agent.
The AI Blueprint for telco network configuration is just one of many announcements at NVIDIA GTC Paris showcasing how the telecom industry is using agentic AI to make autonomous networks a reality. This blueprint provides telcos with insight on how to set various parameters to reach performance goals, such as achieving a certain bitrate while choosing an acceptable signal-to-noise ratio — a measure that impacts voice quality and thus user experience.
Several industry partners have already partnered with NVIDIA to power their autonomous network technologies, including NTT DATA, Tata Consultancy Services, Prodadat, Accenture, and Infosys. These companies are leveraging NVIDIA's accelerated computing, software, and microservices to develop breakthrough innovations poised to vastly improve networks and communications services — accelerating the progress to autonomous networks and improving customer experiences.
For instance, NTT DATA is powering its agentic platform for telcos with NVIDIA accelerated compute and the NVIDIA AI Enterprise software platform. Its first agentic use case is focused on network alarms management, where NVIDIA NIM microservices help automate and power observability, troubleshooting, anomaly detection, and resolution with closed-loop ticketing.
Tata Consultancy Services is delivering agentic AI solutions for telcos built on NVIDIA DGX Cloud and using NVIDIA AI Enterprise to develop, fine-tune, and integrate large telco models into AI agent workflows. These range from billing and revenue assurance, autonomous network management, and hybrid edge-cloud distributed inference.
The company’s anomaly management agentic AI model includes real-time detection and resolution of network anomalies and service performance optimization. This increases business agility and improves operational efficiencies by up to 40% by eliminating human-intensive toils, overheads, and cross-departmental silos.
Prodapt has introduced an autonomous operations workflow for networks, powered by NVIDIA AI Enterprise, that offers agentic AI capabilities to support autonomous telecom networks. AI agents can autonomously monitor networks, detect anomalies in real-time, initiate diagnostics, analyze root causes of issues using historical data and correlation techniques, automatically execute corrective actions, and generate, enrich, and assign incident tickets through integrated ticketing systems.
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. The first available solution, the NOC Agentic App, boosts network operations center tasks by using a generative AI-driven, nonlinear agentic framework to automate processes such as incident and fault management, root cause analysis, and configuration planning.
Using the Llama 3.1 70B NVIDIA NIM microservice and the AI Refinery Distiller Framework, the NOC Agentic App orchestrates networks of intelligent agents for faster, more efficient decision-making.
Infosys is announcing its agentic autonomous operations platform, called Infosys Smart Network Assurance (ISNA), designed to accelerate telecom operators' journeys toward fully autonomous network operations. ISNA helps address long-standing operational challenges for telcos — such as limited automation and high average time to repair — with an integrated AI-driven platform that reduces operational costs by up to 40% and shortens fault resolution times by up to 30%.
NVIDIA NIM and NeMo microservices enhance the platform’s reasoning and hallucination-detection capabilities, reduce latency, and increase accuracy.
In conclusion, NVIDIA's AI Blueprint for telco network configuration represents a significant step forward in the development of autonomous networks. By providing a recipe for building autonomous networks using agentic AI, this blueprint promises to revolutionize the way telecommunications companies manage their networks, streamlining operations, reducing costs, and significantly improving service quality by embedding continuous learning and adaptability directly into network infrastructures.
The introduction of this AI Blueprint is particularly timely, given the vast investment that telecom companies have made in capital expenditures and operating expenses over the past year. With several industry partners already partnering with NVIDIA to power their autonomous network technologies, it is clear that the future of telecommunications is looking increasingly digital.
As NVIDIA continues to push the boundaries of what is possible with AI and high-performance computing, we can expect to see even more innovative solutions in the years to come. Whether you are a telco company looking to automate your network operations or an industry partner looking to leverage NVIDIA's technology, this AI Blueprint represents an exciting opportunity to transform the way networks are managed.
Get started with the new blueprint today and explore how NVIDIA is helping to shape the future of telecommunications.
Related Information:
https://www.digitaleventhorizon.com/articles/NVIDIA-Unveils-AI-Blueprint-for-Telco-Network-Configuration-Revolutionizing-Autonomous-Networks-deh.shtml
https://blogs.nvidia.com/blog/ai-blueprint-telco-network-configuration/
Published: Wed Jun 11 16:05:49 2025 by llama3.2 3B Q4_K_M
