Nvidia released an open source Large Telco model aimed at enterprises in the telecommunications industry looking for AI models that are specifically trained on their data and knowledgeable about their processes.
The AI hardware-software giant said it has created a new model Nemotron 3 family of foundation modelsWhich he released in December.
Large Telco Models (LTM) are trained to understand the language and processes of the telecommunications industry through workflows such as fault isolation, the process of locating the part of the system that is responsible for a failure; Remediation planning, or planning ways to correct a deficiency or failure; and change validation, the process of approving changes to a system, Nvidia said. In addition to LTM, Nvidia unveiled its Intent-Driven RAN Energy Efficiency Blueprint, a closed-loop agentic workflow for energy optimization.
LTM, introduced on February 28 at Mobile World Congress Barcelona, reflects a trend in which telecommunications companies increasingly require domain-specific models To run more autonomous networks. Nvidia is not the only model provider that is working towards making these domain-specific models available. For example, in partnership with Vodafone, Microsoft is deploying Azure-powered agents that can be used for network operations. AMD is also “participating”Open Telco AI“Initiative and providing hardware and compute power to run telco-specific models.
Nvidia’s LTM for telecom companies
For its part, with open source LTM, Nvidia is enabling telecom companies to create their own datasets and integrate them more deeply into their systems and networks.
“(It’s) a model that’s been trained and developed using all the industry standards and information and data sets,” said Susan Welsh de Grimaldo, an analyst at Gartner.
In addition to providing a domain-specific model, Nvidia is also offering a way to address the challenges telco teams face when automating their processes, said Nick Patience, an analyst at Futurum Group.
“Current automation is rules-based,” Patience said. “It breaks the moment something falls outside the script.”
LTM focuses on the layer above the system that can interpret the operator’s intent and use its reasoning mode to make decisions that are not explicitly stated, he said.
Patience said, “When network operations fail they have real consequences, and reasoning models work through multi-step problems rather than pattern-matching possible answers.”
He added that Nvidia is also focusing on transparency, security, guidelines and governance for its AI models, believing that these are important for enterprises in the telco market.
“When you think about autonomous networks and building AI agents to run networks, we will see involvement of both humans and AI,” Welsh de Grimaldo said. He said Nvidia realized it needed to train models to understand skill creation. network operations The engineer’s perspective, which can “better improve the way it is used to run various functions within the network.”
some obstacles
However, a major challenge Nvidia faces is that it competes with traditional network vendors with well-established customer bases such as Ericsson and Nokia.
“Nvidia is new to this domain,” said Lian Ze Su, analyst at Omdia, a division of Informa TechTarget. He said while the AI hardware provider has been working with telecom vendors for years, this is the first time a vendor is offering its product as a competitive option. Moreover, AI is not the only answer to some challenges in the telco sector.
“Bringing AI to the table helps reduce a lot of the complexities, but fundamentally, there are a lot of more nuanced challenges that Nvidia alone won’t be able to solve,” Su said.
Another challenge is that while the model is open source, it remains to be seen “whether telecom IT organizations can absorb it fast enough that it matters,” Patience said.
