Nvidia launched new models for agentic AI called Nemotron, expanded its set of blueprints and expanded its ecosystem for orchestration.
The news, part of a barrage of items at CES 2025, was announced by Nvidia CEO Jensen Huang. Nvidia's CES news featured Project Digits, a desktop AI supercomputer, and a broad effort to tackle physical AI use cases, but the company continues to build on its AI agent strategy.
Nvidia launched the Llama Nemotron family of models that are designed to help developers create and deploy agents across use cases including customer support, fraud detection, supply chain and inventory management.
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The company also launched the Nvidia Cosmos Nemotron visual language models and Nvidia NIM microservices for video search and summarization. With the Cosmos-Nemotron connection, Nvidia is looking to enable developers to build agents that can analyze and respond to images and video from autonomous machines, hospitals, stores and warehouses.
Key items include:
- Nvidia Llama Nemotron models are trained with Nvidia's latest technology, agentic capabilities and quality data sets. These models are designed to excel at following instructions, chat, coding and math. SAP and ServiceNow are early customers of the Llama Nemotron models.
- Llama Nemotron models come in three sizes. Nano is 4B parameters, Super is 49B and Ultra is 253B.
- The new models are available as hosted APIs from Nvidia and Hugging Face.
- Nvidia also outlined new agentic AI blueprints that include NIM microservices, NeMo and agentic AI frameworks from CrewAI, Daily, LangChain, LlamaIndex and Weights & Biases. Those AI frameworks are designed to orchestrate and manage agentic AI and can be used for software development, speech recognition, report generation and research.
- Accenture also said it will launch more than 100 AI Refinery agents for industries using Nvidia's stack.
Nvidia also launched a new AI Blueprint for PDF to podcast. Other Nvidia blueprints were focused on Cosmos models and physical AI.
