Agentic AI Solutions

Transform Your Business With Agentic AI

Build specialized AI agents that use your enterprise knowledge and operate within boundaries you define—with NVIDIA Agent Toolkit.

Video | Blog | For Developers

Overview

What Is Agentic AI?

Agentic AI systems use autonomous, long-running agents to handle complex, multistep work—researching, deciding, and acting without waiting for human input at each step. In multi-agent systems, specialized agents divide the work, share information, and complete tasks in parallel.

Over time, these AI agents get sharper: Human and AI feedback continuously retrain models, so each workflow run improves the next.

Developers can build specialized enterprise AI agents with NVIDIA Agent Toolkit—open models, tools, skills, and libraries, along with a secure runtime that helps agents operate within boundaries enterprises define.

Open Models for Specialized AI Agents

Explore how NVIDIA Nemotron open models help AI agents reason across text and images, orchestrate workflows, and complete specialized tasks.

Bring Text and Vision Together for AI Agents

NVIDIA Nemotron 3.5 Super VL combines text and visual understanding to help AI agents extract information from webpages, PDFs, tables, and charts and act on what they find.

Demos

Agentic AI Is Transforming Every Enterprise

Benefits

Build AI Agents You Can Customize and Control

Essential Building Blocks

Open models, APIs, and microservices like NVIDIA NIM™ and NeMo™ make it simple to create, customize, and compose AI agents for any domain.

Performance at Scale

Built on the world’s leading accelerated computing platform, NVIDIA powers faster reasoning, higher throughput, and enterprise-ready scale in the cloud, on premises, and at the edge.

Flexible by Design

Every AI journey is unique. NVIDIA’s modular stack lets you adopt only what you need—models, data, frameworks, or full AI factories—to move from prototype to production with confidence.

Trust Through Transparency

NVIDIA builds on open-source models, data, and recipes, so enterprises can see how their AI is built, customize it safely, and deploy with confidence.

Technology

Build With NVIDIA Agent Toolkit

Connect agents to enterprise data and tools, adapt them to specialized workflows, and control what they can access and do. Choose the open models, libraries, and blueprints that fit your needs.

Models

  • Accelerate innovation with NVIDIA Nemotron™, a family of open models purpose-built for enterprise AI. Unlock flexibility, transparency, and trust with models designed for scale and adaptability.
  • Speed up deployment of performance-optimized generative AI models with NVIDIA NIM microservices. Run your business applications with stable and secure APIs backed by enterprise-grade support.

Tools and Skills

  • Browse a growing library of NVIDIA verified skills—pre-built capabilities your agents can use to take on more tasks.
  • Give your agents access to enterprise knowledge with NVIDIA Agent Knowledge Foundation—open models and libraries that can search, analyze, and make predictions across your data.
  • Evaluate, optimize, and guardrail agents using NVIDIA NeMo™ Agent Tools, open source libraries for data generation, model customization, and continuous improvement.
  • Extend agents into specialized domains with NVIDIA BioNeMo™, NVIDIA Omniverse™, and NVIDIA PhysicsNeMo—purpose-built platforms that give agents the skills to accelerate drug discovery, simulate physical worlds, and solve complex engineering problems.

Blueprints

  • Build specialized agents with NVIDIA® NemoClaw™, open, customizable blueprints for safer, lower-cost, continuously improving agents—built with your preferred agent harness.

  • Run your agents on NVIDIA AI Factory infrastructure, purpose-built to generate AI tokens at the speed, scale, and energy efficiency that production workloads demand.

AI Factory

  • Ignite your competitive edge and manufacture digital intelligence at scale. 
  • Optimize infrastructure to generate AI tokens with peak energy efficiency, helping your enterprise deploy secure, future-ready AI with greater ROI.

Use Cases

How Agentic AI Is Being Used

See how organizations across industries are using agentic AI, and jump-start your agentic AI development with curated examples.

All Industries

Synthetic Data Generation for Agentic AI

Specialized agentic systems need massive, high-quality datasets that are slow and expensive to collect from real-world sources. Synthetic data created through simulations or generative AI models can eliminate this bottleneck by creating unlimited training scenarios without privacy restrictions or quality issues. This enables faster development of reasoning large language models (LLMs), multi-step decision-makers, and multimodal AI assistants

All Industries

Video Analytics AI Agents

Highly perceptive, accurate, and interactive video analytics AI agents with multi-camera tracking can be deployed throughout factories, warehouses, retail stores, airports, and traffic intersections to search and understand volumes of live or archived video data. Your operations teams can make better decisions faster from richer insights through natural language queries and interactions. 

All Industries

Content Generation

Organizations are generating highly relevant, bespoke, and accurate content grounded in their domain expertise and proprietary IP.

Healthcare and Life Sciences

Biomolecular Generation

Biomolecular generative models and the computational power of GPUs can efficiently explore chemical spaces, rapidly generating diverse sets of small molecules tailored to specific drug targets or properties.

Telecommunications

Intelligent Document Processing

Enterprises across industries are exploring how to cost‑effectively unlock insights from massive volumes of unstructured and multimodal documents. With NVIDIA accelerated computing and AI, organizations can build intelligent document processing pipelines that automatically read, understand, and extract knowledge from PDFs, reports, presentations, and web content—transforming static files into high‑value data assets with greater accuracy, scalability, energy efficiency, and security.

Customer Stories

How Industry Leaders Are Driving Innovation With Agentic AI

Resources

The Latest in Agentic AI Resources

How to Build an AI Agent

A learning path for AI developers who are interested in building specialized AI agents. Learn about the foundational concepts and build an AI agent yourself using NVIDIA Nemotron, a family of open-source models with open weights, training data, and recipes.

How to Build a RAG AI Agent

A learning path course for AI developers experienced with RAG who are interested in building AI agents. Learn about RAG AI agents and build one yourself with NVIDIA Nemotron, a family of open-source models with open weights, training data, and recipes.

How to Evaluate AI Agents

A learning path for AI developers familiar with AI agents who want to evaluate and improve their performance. Learn how to measure task success, debug agent behavior, and improve reliability using NVIDIA Nemotron and NVIDIA NeMo evaluation tools.

Self-Evolving Hermes Agents

See how Hermes agents turn repeated work into reusable skills. Join Nous Research for a live demo of agent memory and learning, with NVIDIA OpenShell providing a sandbox and policies you control.

Build a RAG Agent With NVIDIA Nemotron

Learn to build a retrieval-augmented generation (RAG) agent with NVIDIA Nemotron. Follow practical examples that take you from agentic AI fundamentals to working code.

Build a Claw: NVIDIA NemoClaw on DGX Spark

Follow a step-by-step installation of NVIDIA NemoClaw™ on DGX Spark™. Learn how Nemotron models and the OpenShell runtime work together to run autonomous agents in a sandboxed environment.

Next Steps

Ready to Get Started?

Put your enterprise knowledge to work with specialized AI agents you can customize, deploy, and govern.

Get in Touch

Talk to an NVIDIA product specialist about moving from pilot to production with the security, API stability, and support that comes with NVIDIA AI Enterprise.

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