Global telecommunications networks can support millions of user connections per day, generating more than 3,800 terabytes of data per minute on average.
That massive, continuous flow of data generated by base stations, routers, switches and data centers - including network traffic information, performance metrics, configuration and topology - is unstructured and complex. Not surprisingly, traditional automation tools have often fallen short on handling massive, real-time workloads involving such data.
To help address this challenge, NVIDIA today announced at the GTC global AI conference that its partners are developing new large telco models (LTMs) and AI agents custom-built for the telco industry using NVIDIA NIM and NeMo microservices within the NVIDIA AI Enterprise software platform. These LTMs and AI agents enable the next generation of AI in network operations.
LTMs - customized, multimodal large language models (LLMs) trained specifically on telco network data - are core elements in the development of network AI agents, which automate complex decision-making workflows, improve operational efficiency, boost employee productivity and enhance network performance.
SoftBank and Tech Mahindra have built new LTMs and AI agents, while Amdocs, BubbleRAN and ServiceNow, are dialing up their network operations and optimization with new AI agents, all using NVIDIA AI Enterprise.
It's important work at a time when 40% of respondents in a recent NVIDIA-run telecom survey noted they're deploying AI into their network planning and operations.
LTMs Understand the Language of Networks Just as LLMs understand and generate human language, and NVIDIA BioNeMo NIM microservices understand the language of biological data for drug discovery, LTMs now enable AI agents to master the language of telecom networks.
The new partner-developed LTMs powered by NVIDIA AI Enterprise are:
Specialized in network intelligence - the LTMs can understand real-time network events, predict failures and automate resolutions.
Optimized for telco workloads - tapping into NVIDIA NIM microservices, the LTMs are optimized for efficiency, accuracy and low latency.
Suited for continuous learning and adaptation - with post-training scalability, the LTMs can use NVIDIA NeMo to learn from new events, alerts and anomalies to enhance future performance.
NVIDIA AI Enterprise provides additional tools and blueprints to build AI agents that simplify network operations and deliver cost savings and operational efficiency, while improving network key performance indicators (KPIs), such as:
Reduced downtime - AI agents can predict failures before they happen, delivering network resilience.
Improved customer experiences - AI-driven optimizations lead to faster networks, fewer outages and seamless connectivity.
Enhanced security - as it continuously scans for threats, AI can help mitigate cyber risks in real time.
Industry Leaders Launch LTMs and AI Agents Leading companies across telecommunications are using NVIDIA AI Enterprise to advance their latest technologies.
SoftBank has developed a new LTM based on a large-scale LLM base model, trained on its own network data. Initially focused on network configuration, the model - which is available as an NVIDIA NIM microservice - can automatically reconfigure the network to adapt to changes in network traffic, including during mass events at stadiums and other venues. SoftBank is also introducing network agent blueprints to help accelerate AI adoption across telco operations.
Tech Mahindra has developed an LTM with the NVIDIA agentic AI tools to help address critical network operations. Tapping into this LTM, the company's Adaptive Network Insights Studio provides a 360-degree view of network issues, generating automated reports at various levels of detail to inform and assist IT teams, network engineers and company executives.
In addition, Tech Mahindra's Proactive Network Anomaly Resolution Hub is powered by the LTM to automatically resolve a significant portion of its network events, lightening engineers' workloads and enhancing their productivity.
Amdocs' Network Assurance Agent, powered by amAIz Agents, automates repetitive tasks such as fault prediction. It also conducts impact analysis and prevention methods for network issues, providing step-by-step guidance on resolving any problems that occur. Plus, the company's Network Deployment Agent simplifies open radio access network (RAN) adoption by automating integration, deployment tasks and interoperability testing, and providing insights to network engineers.
BubbleRAN is developing an autonomous multi-agent RAN intelligence platform on a cloud-native infrastructure, where LTMs can observe the network state, configuration, availability and KPIs to facilitate monitoring and troubleshooting. The platform also automates the process of network reconfiguration and policy enforcement through a high-level set of action tools. The company's AI agents satisfy user needs by tapping into advanced retrieval-augmented generation pipelines and telco-specific application programming interfaces, answering real-time, 5G deployment-specific questions.
ServiceNow's AI agents in telecom - built with NVIDIA AI Enterprise on NVIDIA DGX Cloud - drive productivity by generating resolution playbooks and predicting potential network disruptions before they occur. This helps communications service providers reduce resolution time and improve customer satisfaction. The new, ready-to-use AI agents also analyze network incidents, identifying root causes of disruptions so they can be resolved faster and avoided in the future.
Learn more about the latest agentic AI advancements at NVIDIA GTC, running through Friday, March 21, in San Jose, California.
More from Nvidia
13/09/2025
Celtic languages - including Cornish, Irish, Scottish Gaelic and Welsh - are the U.K.'s oldest living languages. To empower their speakers, the UK-LLM sover...
10/09/2025
GeForce NOW Blackwell RTX 5080-class SuperPODs are now rolling out, unlocking a new level of ultra high-performance, cinematic cloud gaming.
GeForce NOW Ultima...
09/09/2025
Inference has emerged as the new frontier of complexity in AI. Modern models are...
09/09/2025
As large language models (LLMs) grow larger, they get smarter, with open models from leading developers now featuring hundreds of billions of parameters. At the...
09/09/2025
At this week's AI Infrastructure Summit in Silicon Valley, NVIDIA's VP o...
09/09/2025
Inference performance is critical, as it directly influences the economics of an AI factory. The higher the throughput of AI factory infrastructure, the more to...
09/09/2025
At this week's IAA Mobility conference in Munich, NVIDIA Vice President of A...
09/09/2025
ComfyUI - an open-source, node-based graphical interface for running and buildin...
04/09/2025
NVIDIA today announced new AI education support for K-12 programs at a White House event to celebrate public-private partnerships that advance artificial intell...
04/09/2025
Editor's note: This post is part of the AI On blog series, which explores the latest techniques and real-world applications of agentic AI, chatbots and copi...
04/09/2025
NVIDIA Blackwell RTX is coming to the cloud on Wednesday, Sept. 10 - an upgrade ...
03/09/2025
3D artists are constantly prototyping.
In traditional workflows, modelers must build placeholder, low-fidelity assets to populate 3D scenes, tinkering and adju...
02/09/2025
For more than a century, meteorologists have chased storms with chalkboards, equ...
28/08/2025
Brace yourself, COGs - the Locusts aren't the only thing rising up. The Coal...
28/08/2025
Last week at Gamescom, NVIDIA announced the winners of the NVIDIA and ModDB RTX ...
27/08/2025
AI models are advancing at a rapid rate and scale.
But what might they lack that (most) humans don't? Common sense: an understanding, developed through rea...
25/08/2025
Robots around the world are about to get a lot smarter as physical AI developers...
25/08/2025
As autonomous vehicle systems rapidly grow in complexity, equipped with reasonin...
22/08/2025
As the latest member of the NVIDIA Blackwell architecture family, the NVIDIA Blackwell Ultra GPU builds on core innovations to accelerate training and AI reason...
22/08/2025
AI reasoning, inference and networking will be top of mind for attendees of next...
21/08/2025
Japan is once again building a landmark high-performance computing system - not ...
21/08/2025
From AI assistants doing deep research to autonomous vehicles making split-second navigation decisions, AI adoption is exploding across industries.
Behind ever...
21/08/2025
Across the globe, AI factories are rising - massive new data centers built not to serve up web pages or email, but to train and deploy intelligence itself. Inte...
21/08/2025
Get a glimpse into the future of gaming.
The NVIDIA Blackwell RTX architecture is coming to GeForce NOW in September, marking the service's biggest upgrade...
20/08/2025
Editor's note: This blog is a part of Into the Omniverse, a series focused o...
18/08/2025
With over 175 games now supporting NVIDIA DLSS 4 - a suite of advanced, AI-power...
18/08/2025
At Gamescom, NVIDIA is releasing its first major update to Project G Assist - an...
15/08/2025
Of around 7,000 languages in the world, a tiny fraction are supported by AI lang...
14/08/2025
NVIDIA is partnering with the U.S. National Science Foundation (NSF) to create a...
14/08/2025
Warhammer 40,000: Dawn of War - Definitive Edition is marching onto GeForce NOW,...
13/08/2025
Black Forest Labs' FLUX.1 Kontext [dev] image editing model is now available as an NVIDIA NIM microservice.
FLUX.1 models allow users to edit existing imag...
11/08/2025
Using NVIDIA digital twin technologies, Amazon Devices & Services is powering bi...
11/08/2025
Packing the power of the NVIDIA Blackwell architecture in compact, energy-effici...
11/08/2025
Physical AI is becoming the foundation of smart cities, facilities and industria...
07/08/2025
This GFN Thursday brings an offer members can't refuse - 2K's highly ant...
05/08/2025
Two new open-weight AI reasoning models from OpenAI released today bring cutting...
05/08/2025
In collaboration with OpenAI, NVIDIA has optimized the company's new open-so...
05/08/2025
NVIDIA and OpenAI began pushing the boundaries of AI with the launch of NVIDIA D...
05/08/2025
NVIDIA GPUs are at the heart of modern computing. They're used across industries - from healthcare and finance to scientific research, autonomous systems an...
31/07/2025
August brings new levels of gaming excitement on GeForce NOW, with 2,300 titles now available to stream in the cloud.
Grab a controller and get ready for epic ...
31/07/2025
Interest in generative AI is continuing to grow, as new models include more capabilities. With the latest advancements, even enthusiasts without a developer bac...
29/07/2025
FourCastNet3 (FCN3) is the latest AI global weather forecasting system from NVID...
28/07/2025
The electrical grid is designed to support loads that are relatively steady, such as lighting, household appliances, and industrial machines that operate at con...
24/07/2025
For media company Black Mixture, AI isn't just a tool - it's an entire p...
24/07/2025
Sharpen the blade and brace for a journey steeped in myth and mystery. WUCHANG: Fallen Feathers has launched in the cloud.
Ride in style with skateboarding leg...
23/07/2025
In today's fast-evolving digital landscape, marketing teams face increasing ...
22/07/2025
Editor's note: This post is part of the AI On blog series, which explores th...
17/07/2025
Listen up citizens, the law is back and patrolling the cloud. Nacon's RoboCop Rogue City - Unfinished Business launches today in the cloud, bringing justice...
15/07/2025
Submissions for NVIDIA's Plug and Play: Project G-Assist Plug-In Hackathon a...
Global telecommunications networks can support millions of user connections per day, generating more than 3,800 terabytes of data per minute on average.
