Nvidia Announced the llama nemotron family of open large language models (llms) on Monday. The company said that with the risk of artificial intelligence (AI) agents, new and more sophisticated ai models were required to handle the workflow of agentic ai. Highlighting the need for more power and higher efficiency, the tech giant stated that the nemotron family models can create and deploy ai agents across the various applications. The company claimed that the ai models will be available for Enterprises via the Nvidia Nim Microservice.
Nvidia introduces nemotron family of ai models
In a blog postThe tech giant announced its new series of open-source llms dubbed nemotron. The series also contains cosmos nemotron vision language models (vlms), and these can be used to build ai agents that analyse and respond to images and videos. Nvidia said the vision-focused agents can be deployed in autonomous machines, hospitals, stores and warehouses, as well as sports events, movies, and news.
Built with meta’s Llama Foundation models, the nvidia llama nemotron models are said to be optimized to build and develop ai agents. While the company did not reveal the architecture and technical details, it claimd that these models are trained using “Latest Techniques and High-Quality Datasets”. The models can be used to train agentic capability Nemotron is also said to optimise the ai agents’ size to make it easy to deploy.
Nvidia stated that sap, servicenow, and other AI agent platform provides will be amon the first to use the new llama nemotron models.
The nemotron and cosmos nemotron models will be available in three parameter sizes – Nano, Super, and Ultra. Nano is the most cost-effective model Built with low latency as the primary focus. Super is a high-cauracy model that can be run on a single gpu. Finally, Ultra is the highest-recuracy model designed for data centers.
Nvidia highlighted that enterprises can access the nemotron model family as downloadable models and as nim. These models will also be available as application programs interfaces (Apis). While the models are open-source, they are only available for academic and research usage.