At CES 2025, NVIDIA revealed the Nemotron model families, a groundbreaking step in artificial intelligence. These models include the open-source Llama Nemotron large language models (LLMs) and the Cosmos Nemotron vision language models (VLMs). Designed to boost AI agents’ abilities, these models are available as NVIDIA NIM microservices, making them easy to use on a variety of systems, from data centers to edge devices.
What is the Nemotron Ecosystem?
- NVIDIA NIM Microservices
These microservices make it simple to add Nemotron models to different setups, ensuring high-performance AI capabilities with flexibility and scalability. - Llama Nemotron LLMs
Based on the successful Llama architecture, these models come in three sizes: Nano, Super, and Ultra. Each size caters to specific needs, from low-latency tasks to high-accuracy applications. These LLMs are optimized for key AI tasks like generating human-like responses, coding, and solving complex math problems. - Cosmos Nemotron VLMs
These vision language models combine image understanding with language processing, enabling AI agents to interpret and interact with visual data. This is useful for tasks like autonomous driving, medical analysis, and retail planning. - Scalable and Efficient Performance
The Nemotron models use NVIDIA’s advanced training and optimization techniques to ensure they perform well and scale effectively across different hardware systems.
Real-World Use Cases
Major companies like SAP and ServiceNow are already using these models.
- SAP is integrating them to improve AI-driven supply chain management.
- ServiceNow aims to enhance its customer service AI agents for better user experiences.
These early applications highlight how Nemotron models can automate complex tasks, improve decision-making, and streamline operations in industries like logistics, customer service, and healthcare.
How It Works
NVIDIA’s NeMo framework allows users to customize the Nemotron models for specific needs. For faster deployment, NVIDIA Blueprints offer ready-made solutions for building AI agents.
Community Buzz and Open-Source Impact
The Nemotron models have generated excitement across social platforms like X, where developers and AI enthusiasts are discussing their potential. NVIDIA’s decision to open-source the Llama Nemotron models encourages global collaboration, allowing developers to adapt and expand their capabilities for different industries.
The Future of AI Agents
NVIDIA’s Nemotron models pave the way for smarter, more capable AI agents that can handle complex tasks in real-world scenarios. With advancements in language and vision processing, these models could reshape industries and drive innovation in AI applications worldwide.
Links
https://build.nvidia.com/nvidia/llama-3_1-nemotron-70b-instruct
https://build.nvidia.com/nvidia/cosmos-nemotron-34b
https://huggingface.co/models?search=nemotron
https://huggingface.co/nvidia/nemotron-3-8b-base-4k
https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct-HF