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Nvidia's New Llama Nemotron LLMs Can Build and Deploy AI Agents
They can also be used for fraud detection and product supply chain Nvidia announced the Llama Nemotron family of open large language models (LLMs) on Monday. The company said that with the rise of artificial intelligence (AI) agents, new and more sophisticated AI models were required to handle the
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NVIDIA Unveils New Llama Nemotron Models to Build AI Agents
The Nemotron families will be offered in Nano, Super, and Ultra sizes to suit deployment needs, from low-latency real-time applications to high-accuracy data center use cases. At CES 2025, NVIDIA CEO Jensen Huang launched new Nemotron models, including the Llama Nemotron large language models
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NVIDIA Announces Nemotron Model Families to Advance Agentic AI
Artificial intelligence is entering a new era -- agentic AI -- where teams of specialized agents can help people solve complex problems and automate repetitive tasks. With custom AI agents, enterprises across industries can manufacture intelligence and achieve unprecedented productivity. These
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Nvidia's Nemotron Model Families will advance AI agents
Available as Nvidia NIM microservices, open Llama Nemotron large language models and Cosmos Nemotron vision language models can supercharge AI agents on any accelerated system. Artificial intelligence is entering a new era -- agentic AI -- where teams of specialized agents can help people solve
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NVIDIA announces new Llama Nemotron and Cosmos Nemotron model families designed to enhance AI agent capabilities and boost enterprise productivity across various applications.

NVIDIA has unveiled its latest innovation in artificial intelligence: the Nemotron model families, including Llama Nemotron large language models (LLMs) and Cosmos Nemotron vision language models (VLMs). Announced at CES 2025, these new models are designed to propel the development of agentic AI, ushering in a new era of enterprise productivity and problem-solving capabilities
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.Built on Meta's Llama foundation models, the Llama Nemotron family is optimized for creating and deploying AI agents across various applications. These open-source LLMs excel in tasks such as instruction following, chat functionality, function calling, coding, and mathematics
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. NVIDIA claims that the models are trained using "latest techniques and high-quality datasets," although specific architectural details were not disclosed1
.Complementing the Llama Nemotron models, NVIDIA introduced Cosmos Nemotron VLMs. These models enable AI agents to analyze and respond to images and videos, making them suitable for deployment in autonomous machines, healthcare settings, retail environments, and media applications
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.Both Nemotron families will be available in three parameter sizes:
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.NVIDIA is offering the Nemotron models as downloadable resources and as NVIDIA NIM microservices, allowing for easy deployment across various computing platforms
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. Enterprises can customize these models for specific use cases using NVIDIA NeMo microservices, which simplify data curation, accelerate model customization, and apply guardrails3
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Leading AI platform providers, including SAP and ServiceNow, have expressed support for the Nemotron models. SAP plans to incorporate them into its Joule platform to enhance enterprise user productivity, while ServiceNow aims to utilize the models for AI agent services across various industries
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.The Llama Nemotron and Cosmos Nemotron models will soon be available through build.nvidia.com, Hugging Face, and the NVIDIA Developer Program. While the models are open-source, they are currently limited to academic and research usage
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. Enterprise-grade deployments will be supported via the NVIDIA AI Enterprise platform on accelerated cloud and data center infrastructure2
.As AI continues to evolve, NVIDIA's Nemotron model families represent a significant step towards more sophisticated and capable AI agents, potentially revolutionizing how enterprises approach complex problem-solving and task automation across various industries.
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