NVIDIA Launches Telco Agentic AI Blueprints Built on Nemotron Reasoning Models

NVIDIA expands agentic AI from pilots to telecom operations workflows

On February 28, 2026, NVIDIA announced new AI Blueprint workflows for telecom operators, focused on network configuration and optimization. The release combines Nemotron reasoning models with NVIDIA NIM microservices and positions agentic AI as an operational layer for managing complex radio and service environments. Rather than introducing a single model endpoint, NVIDIA is packaging models, inference services, and task-oriented workflow templates together.

The company frames the launch around a familiar telecom challenge: growing network complexity with limited operational headcount. In that context, reasoning-capable agents are pitched as tools for translating intent into actionable network changes while keeping human teams in control of validation and rollout.

What NVIDIA and partners highlighted

A new NVIDIA AI Blueprint for telco network configuration and optimization.

Integration of Nemotron reasoning models and NIM microservices.

Named collaborators and adopters include Amdocs, BubbleRAN, and ServiceNow.

NVIDIA states BubbleRAN is combining the blueprint with OpenAirInterface to automate radio slicing from natural-language instructions in under a minute.

Amdocs is presented as using the blueprint stack to support automation for 5G configuration and optimization tasks. ServiceNow is discussed in the context of telecom service management integration, where agent outputs can be connected to operational workflows. Together, these references suggest NVIDIA is aiming at end-to-end process coverage, from network intent and reasoning to execution workflows and service operations.

For buyers, the practical significance is architectural. This announcement is less about one benchmark number and more about whether a common agent framework can connect model reasoning with legacy telecom systems. If deployment patterns mature, operators could reduce manual effort on recurring configuration loops while retaining governance checkpoints.

The roadmap risk remains integration quality across vendors and production environments. But this launch marks a concrete step toward packaging agentic AI into telecom-grade operational tooling rather than treating it as a disconnected proof of concept.