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Home » NVIDIA’s Telecom AI Models Target Network Resilience and Automation

NVIDIA’s Telecom AI Models Target Network Resilience and Automation

March 18, 2025
in Clouds and Carriers
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NVIDIA unveiled new telecom-focused AI models and agents during its GTC conference, partnering with major industry players to address the rising complexity and data demands in global networks. SoftBank, Tech Mahindra, Amdocs, BubbleRAN, and ServiceNow are leveraging NVIDIA’s AI Enterprise software, including NIM and NeMo microservices, to create Large Telco Models (LTMs) tailored for real-time network automation and optimization.

These LTMs are specialized multimodal large language models trained on telecom-specific datasets. They enable AI agents to automate complex decision-making workflows, predict and resolve network issues, and enhance performance across telecom operations. According to NVIDIA, 40% of telecom operators are already integrating AI into network planning and operations. LTMs, optimized for low latency and continuous learning, are now central to this push.

SoftBank’s LTM focuses on dynamic network reconfiguration for large-scale events, while Tech Mahindra’s system generates automated network health reports and anomaly resolutions. Amdocs’ AI agents automate fault prediction and streamline open RAN deployments. BubbleRAN is building a fully autonomous RAN intelligence platform with real-time 5G optimization, and ServiceNow’s AI agents are improving incident resolution times for service providers.

• NVIDIA partners are using AI Enterprise to develop LTMs specialized for telecom operations.

• LTMs automate network monitoring, fault prediction, reconfiguration, and policy enforcement.

• SoftBank’s LTM adapts networks in real time for events like stadium gatherings.

• Tech Mahindra’s tools auto-resolve network anomalies and deliver detailed operational insights.

• Amdocs focuses on open RAN deployment and predictive maintenance through AI agents.

• BubbleRAN and ServiceNow deploy AI agents for autonomous RAN optimization and incident resolution.

• LTMs use NVIDIA NIM microservices and NeMo for scalability and adaptation.

“Our new LTMs help telecom operators translate complex network data into actionable insights, improving resilience and customer experience,” said Chris Penrose, Global Head of Business Development for Telco at NVIDIA.

Tags: Nvidia
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Jim Carroll

Jim Carroll

Editor and Publisher, Converge! Network Digest, Optical Networks Daily - Covering the full stack of network convergence from Silicon Valley

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