NVIDIA Nemotron – Foundation Models for Agentic AI

NVIDIA Nemotron is a family of multimodal foundation models designed specifically for building enterprise-grade agentic AI with advanced reasoning capabilities. These models enable AI agents that can perform complex tasks such as graduate-level scientific reasoning, advanced math, coding, instruction following, tool calling, and visual reasoning.

Let’s have a look at the key Features of NVIDIA Nemotron:

• Agentic Reasoning: Nemotron models excel in reasoning tasks, enabling AI systems to understand, plan, and act autonomously with a level of cognitive reasoning close to human logic. They combine structured thinking with contextual awareness for dynamic and adaptable AI behaviors.

• Multimodal Capabilities: These models handle both text and vision tasks, such as enterprise optical character recognition (OCR) and complex instruction or tool use.

• Model Variants Optimized for Different Environments:

  • Nano: Optimized for cost-efficiency and edge deployment, suitable for RTX AI PCs and workstations.

  • Super: Balanced for high accuracy and compute efficiency on a single GPU.

  • Ultra: Designed for maximum accuracy and throughput in multi-GPU data center environments.

• Open and Customizable: Built on popular open-source reasoning models (notably Llama), Nemotron models are post-trained with high-quality datasets to align with human-like reasoning. They are available under an open license for enterprises to customize and control data, with models and training data openly published on platforms like Hugging Face.

• Compute Efficiency: Using techniques such as pruning of larger models and NVIDIA’s TensorRT-LLM optimization, Nemotron achieves top compute efficiency, delivering high throughput and low latency across devices from edge to data center.

• Integration and Deployment: Nemotron models are available as optimized NVIDIA NIM microservices, facilitating peak inference performance, flexible deployment, security, privacy, and portability. They are integrated with tools like NVIDIA NeMo for customizing agentic AI, NVIDIA Blueprints for accelerating development, and NVIDIA AI Enterprise for enterprise-grade production readiness.

• Industry Adoption: NVIDIA collaborates with leading AI agent platform providers like SAP and ServiceNow to adopt Nemotron models for practical enterprise deployment.

• Foundation for LLM-based AI Agents: An example in the Nemotron family is the “llama-3.1-nemotron-70b-instruct” large language model, which enhances LLM helpfulness and agentic task performance through specialization.

NVIDIA Nemotron models provide a commercially viable, highly optimized, and open foundation modeling solution tailored for creating advanced agentic AI systems capable of reasoning, acting, and interacting with complex environments with human-like intelligence and scalability across hardware platforms.