NVIDIA revealed its AI-powered telecom network management solutions at its GPU Technology Conference (GTC), introducing Large Telco Models (LTMs) designed to handle the industry’s data deluge of over 800 terabytes generated per minute worldwide.
Built on NVIDIA’s Telecom AI Enterprise platform, the new AI agents automates complex tasks, such as traffic routing and system configuration that currently overwhelm traditional tools.
Global networks are experiencing a strain under surging demand, and the specialized language models will optimize performance monitoring and operational efficiency for carriers managing millions of simultaneous connections.
LTMs Mastering Networks’ Language
Large Language Models (LLM) trained on telecommunications network data are referred to as LTMS, and are designed to learn the unique telecommunication networks’ language in the same manner that LLMs learn human languages. LTMs can be applied to automate decision-making, streamline network operations, and improve operational workflows.
Customized for telecom workloads, LTMs deliver low latency, accuracy, and continuous learning, and with NVIDIA BioNeMo NIM microservices, LTMs learn from real-time events and anomalies, improving performance.
These AI agents reduce downtime, enhance customer experience and strengthen security by identifying and blocking cyber threats in real time. Using NVIDIA AI networks, LTMs simplify operations and make the network more efficient, to the advantage of both cost savings and performance.
Telcos Adopting NVIDIA AI Solutions
Major telcos are channeling NVIDIA AI Enterprise’s offerings for their AI-driven network management, and one of them being SoftBank, who developed an LTM using its own network data to dynamically reorganize the network in response to events, in return, optimizing responsiveness.
Tech Mahindra’s LTM, combined with NVIDIA Agentic AI, provides end-to-end insight into network issues, auto-generates reports, and management. Amdocs and BubbleRAN are also deploying AI agents for performance and issue prediction, automating tasks and simplifying open RAN adoption.
ServiceNow’s AI agents, on the other hand, uses NVIDIA agentic AI to predict disruptions, speeding up the issue resolution process and enhancing customer experience. Nvidia and other tech giants coming up with these innovations highlight the undeniable role of AI in telecom network management.
Twist in Global Networks
NVIDIA AI Solutions is a significant twist in global networks, offering promises to handle the huge data flow in telecom network. The advantages of LTMs and agentic AI in increasing operational efficiency, reducing downtime, and fortifying security are obvious, many believe that over-reliance on AI can lead to leaving systems vulnerable.
The risk of losing human intuition in problem-solving is real. However, as SoftBank and Tech Mahindra show, AI enhances—not replaces—engineers’ expertise, allowing them to focus on complex tasks. Ultimately, AI adoption is crucial for advancing telecom network management.
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