Agentic AI Solutions

Transform Your Business With Agentic AI

Explore the cutting-edge building blocks of AI agents designed to reason, plan, and act.

Video | Blog | For Developers

Overview

What Is Agentic AI?

Agentic AI systems are composed of autonomous, long-running agents that reason, plan and act across complex, multi-step workflows. In multi-agent systems, teams of agents ingest data from many sources, coordinate tasks, and complete work independently.

With these capabilities, AI agents transform enterprise data into actionable insights and continually improve through a data flywheel, where human and AI feedback are used to refine models and improve outcomes.

Run Autonomous Agents More Safely

NVIDIA NemoClaw is an open source stack that adds privacy and security controls to OpenClaw. With one command, anyone can run always-on, self-evolving agents anywhere.

Create Trustworthy AI Agents With NVIDIA Agent Toolkit

Bring trust and safety to autonomous agents with NVIDIA Agent Toolkit. Use OpenShell for enhanced safety and privacy and AI-Q to build reasoning agents that transform enterprise data into explainable results.

Demos

Agentic AI Is Transforming Every Enterprise

Benefits

Build Specialized AI Agents With NVIDIA Agent Toolkit

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 Safe Autonomous Agents

NVIDIA Agent Toolkit is a collection of models, runtimes, and libraries for building, securing, and optimizing autonomous, long-running multi-agent systems. It provides developers with the tools to create reasoning agents that safely use tools, code, and data. 

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.

AI Agent Development Suite

  • Build, monitor, and scale AI agents with enterprise-grade reliability.
  • Leverage modular microservices and open-source libraries for data generation and curation, model customization and evaluation, and guardrailing.
  • Easily build AI agents connected to data flywheels for continuous learning and optimization.

Blueprints

  • Quickly get started with workflows and code samples for agentic AI use cases such as enterprise search with NVIDIA AI-Q and retrieval-augmented generation (RAG).

  • Explore customizable reference workflows with best practices for enterprise performance and scale.
  • Try interactive tutorials and example patterns to bootstrap AI development.

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.

Build an AI Agent for Report Generation

This livestream will introduce you to building a reporting generation agent using NVIDIA Nemotron, a family of open models with open datasets and open weights, through an OpenRouter endpoint.

Build a RAG Agent With NVIDIA Nemotron

This developer-focused livestream takes you from first principles to code, exploring the "why" and "how" of building agentic AI using practical examples

Train AI Agents for Command-Line Tasks With Synthetic Data and RL

This livestream will explore and debug in real time while teaching a BASH agent a brand-new CLI tool with synthetic data and reinforcement learning with verifiable rewards (RLVR).

Next Steps

Ready to Get Started?

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.

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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