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Apr 16, 2026
Tech Updates
Enterprise
Artificial Intelligence
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NewDecoded
3 min read

Image by Nvidia
At Mobile World Congress Barcelona 2026, NVIDIA introduced the Nemotron-based Large Telco Model (LTM) and a series of Agentic AI Blueprints. These tools are designed to transform telecommunications from simple automated workflows into fully autonomous networks capable of complex reasoning. This initiative is part of the GSMA Open Telco AI program, aiming to standardize intelligent network management globally. The new 30-billion-parameter Nemotron LTM was developed in collaboration with AdaptKey AI. It is specifically fine-tuned on telecom industry standards and synthetic logs to understand domain-specific language. By offering this as an open model, NVIDIA allows operators to deploy reasoning capabilities on-premises while maintaining full control over their proprietary data.
Beyond the foundation model, NVIDIA partnered with Tech Mahindra to release an open-source guide for building reasoning agents. This framework teaches AI to mimic network engineers by capturing thinking examples or reasoning traces. These traces help agents understand the logic behind fault isolation and remediation planning rather than just following scripts.
A primary application of this technology is the new Blueprint for intent-driven RAN energy efficiency. By integrating with VIAVI Solutions simulation tools, the system allows agents to test power-saving policies in a virtual environment. This closed-loop approach ensures that energy reductions do not negatively impact subscriber quality of service. Global operators are already implementing these blueprints to solve regional challenges. Cassava Technologies is deploying an agentic platform to optimize diverse mobile environments across Africa, while NTT DATA in Japan uses AI to manage network surges during service restoration. These deployments demonstrate the practical scalability of agentic orchestration in high-stakes environments.
Decoded
The move from automation to autonomy marks a fundamental change in how global infrastructure is managed. By providing open-source models and standardized blueprints through the GSMA, NVIDIA is lowering the barrier to entry for advanced AI across the industry. This shift suggests that the future of telecommunications lies in AI-native networks that self-heal and self-optimize without constant human intervention, turning the network itself into a primary source of operational intelligence.
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