Agentic AI Solutions # Transform Your Business With Agentic AI Explore the cutting-edge building blocks of AI agents designed to reason, plan, and act. [Get Started](https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron.md) [Video](https://www.youtube.com/watch?v=_y9SEtn1lU8) | [Blog](https://blogs.nvidia.com/blog/tag/agentic-ai/) | [For Developers](https://developer.nvidia.com/generative-ai) Overview ## What Is Agentic AI? [Agentic AI](https://www.nvidia.com/en-us/glossary/ai-agents.md) 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](https://www.nvidia.com/en-us/glossary/multi-agent-systems.md), specialized agents divide the work, share information, and complete tasks in parallel. Over time, these [AI agents](https://www.nvidia.com/en-us/glossary/ai-agents/?ncid=pa-srch-goog-912323-API-Brand-Exact) get sharper: Human and AI feedback continuously retrain models, so each workflow run improves the next. ### Securing the AI Era, Together The Open Secure AI Alliance unites industry leaders to develop new techniques and tools to safeguard software by rapidly and responsibly identifying and patching vulnerabilities as the technology evolves. [Read the Blog](https://blogs.nvidia.com/blog/open-secure-ai-alliance?nvid=nv-bnr-452682) ### New Contributions From the Open Secure AI Alliance The Open Secure AI Alliance is sharing new open source security contributions, including proposed SAFE guidelines, for stronger protection across the ecosystem. [Read the Blog](https://blogs.nvidia.com/blog/open-secure-ai-alliance-contributions/) Demos ## Agentic AI Is Transforming Every Enterprise Consent for Optional Cookies (googleCookiePolicyLink)YouTube sets performance, advertising, and other optional cookies(/googleCookiePolicyLink) when you watch embedded videos. To watch this video, you need to turn on optional cookies for the site. By clicking “Accept and Play Video,” you will automatically turn on advertising and other optional cookies for the site and accept our (nvidiaTermsOfServiceLink)Terms of Service(/nvidiaTermsOfServiceLink) (which contains important waivers). Please see our (nvidiaPrivacyPolicyLink)Privacy Policy(/nvidiaPrivacyPolicyLink) and (nvidiaCookiePolicyLink)Cookie Policy(/nvidiaCookiePolicyLink) for more information. Cancel Accept and Play Video Alternatively, you can (youtubeLink)watch this video on YouTube(/youtubeLink). #### Building Blocks for Agentic AI [Play](#) #### Build a Simple AI Agent in 5 Minutes [Play](#) #### Reasoning ON/OFF: Navigating a Wedding Seating Chart With AI Reasoning [Play](#) #### Agentic Reasoning Reshapes the Workplace [Play](#) Next Video will Start in **%**s #### Building Blocks for Agentic AI Build a Simple AI Agent in 5 Minutes Reasoning ON/OFF: Navigating a Wedding Seating Chart With AI Reasoning Agentic Reasoning Reshapes the Workplace [View All Videos](https://www.youtube.com/@NVIDIA/featured) Benefits ## NVIDIA Agent Toolkit for Open, Specialized Enterprise AI ### Faster Time to Production Open NVIDIA Nemotron models, tools and skills, and a secure runtime—that integrate with your framework of choice. Everything needed to go from prototype to production without starting from scratch. ### Built for Enterprise Scale From a single pilot to thousands of concurrent workflows, NVIDIA’s accelerated computing platform delivers the speed, throughput, and reliability enterprises need—in the cloud, on premises, or at the edge. ### Modular by Design Everything enterprises need to build and run AI agents, designed to work together. Take the whole stack or layer in individual components—either way, you're building on a foundation that scales. ### Trust Through Transparency NVIDIA builds on open source models, data, tools, and recipes, so enterprises can understand, customize, and govern how their AI agents operate. Technology ## Build Safer, Faster, and Lower-Cost AI Agents NVIDIA Agent Toolkit is an open source platform for building digital coworkers that enterprises can customize and control. It brings together open models, tools, skills, and a runtime designed for enterprise security—everything needed to go from first agent to full-scale deployment. ### Models * [NVIDIA Nemotron](https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron.md) and [NVIDIA Cosmos™](https://www.nvidia.com/en-us/ai/cosmos.md) deliver frontier intelligence at a fraction of the cost—open-weight models purpose-built for enterprise AI that are faster, more affordable, and fully customizable. * Deploy any model quickly with [NVIDIA NIM™ microservices](https://www.nvidia.com/en-us/ai-data-science/products/nim-microservices.md), which provide stable, secure APIs backed by enterprise-grade support. [Get Started With AI Models](https://build.nvidia.com/models) ### Tools and Skills * Browse a growing library of [NVIDIA verified skills](https://developer.nvidia.com/blog/nvidia-verified-agent-skills-provide-capability-governance-for-ai-agents/)—pre-built capabilities your agents can use to take on more tasks. * Give your agents access to enterprise knowledge with [NVIDIA AI-Q](https://build.nvidia.com/nvidia/aiq)—an AI research tool that retrieves and reasons over your data more accurately than traditional RAG, at significantly lower cost. * Evaluate, optimize, and guardrail agents using [NVIDIA NeMo™ Agent Tools](https://www.nvidia.com/en-us/ai-data-science/products/nemo.md), open source libraries for data generation, model customization, and continuous improvement. [Explore NVIDIA Verified Skills](https://build.nvidia.com/skills) ### Blueprints * Build specialized agents with [NVIDIA NemoClaw™](https://www.nvidia.com/en-us/ai/nemoclaw.md), open, customizable blueprints for safer, lower-cost, continuously improving agents—built with your preferred agent harness. * Run your agents on [NVIDIA AI Factory](https://www.nvidia.com/en-us/solutions/ai-factories.md) infrastructure, purpose-built to generate [AI tokens](https://blogs.nvidia.com/blog/ai-tokens-explained/) at the speed, scale, and [energy efficiency](https://www.nvidia.com/en-us/glossary/energy-efficiency.md) that production workloads demand. [Start Using NVIDIA Blueprints](https://build.nvidia.com/blueprints) ### Runtime * Execute agents more safely with [NVIDIA OpenShell™](https://build.nvidia.com/openshell), an open source runtime with policy-based controls over files, networks, credentials, and tools. * Build with [NVIDIA NemoClaw](https://www.nvidia.com/en-us/ai/nemoclaw.md) open blueprints for autonomous, always-on agents that operate with infrastructure-level controls for security, observability, and governance. [Get Started With Safer Agents](https://build.nvidia.com/openshell) Use Cases ## Digital Coworkers at Work Across Industries See how enterprises are deploying always-on agents to handle complex, high-value work. 1. EDA Autonomous Engineer 2. Video Analytics Agents 3. IT Service Desk Agent 4. Health and Life Science Agents 5. Cyber Defense Agent Semiconductors ### Autonomous EDA Engineer Designing and verifying complex chips requires orchestrating dozens of specialized tools across months-long workflows—work that is slow, expensive, and bottlenecked by engineering capacity. With NVIDIA Agent Toolkit and NemoClaw, partners are building autonomous AI engineers that plan and execute multi-tool EDA workflows with no handoff, compressing weeks of RTL verification time to hours. [Learn More About Autonomous AI Engineers](https://blogs.nvidia.com/blog/industrial-software-leaders-secure-autonomous-ai-engineers-nemoclaw/) All Industries ### Video Analytics Agents Traditional video analytics only detect what they were trained to find—missing the context and complexity of real-world operations. A new generation of highly accurate video analytics agents goes beyond detection to perceive, reason, and act on massive volumes of live and recorded video across factories, warehouses, retail stores, airports, and roadways. Built with [NVIDIA Metropolis VSS Blueprint](https://build.nvidia.com/nvidia/video-search-and-summarization/blueprintcard) and [Cosmos](https://www.nvidia.com/en-us/ai/cosmos.md), these agents help operations teams make better decisions faster and unlock new possibilities for automation. [Learn More About Video Analytics Agents](https://www.nvidia.com/en-us/use-cases/video-analytics-ai-agents.md) Enterprise IT ## IT Service Desk Agent Level 1 support is high volume, repetitive, and expensive—but requires careful governance and auditability. An IT service desk digital coworker built with NVIDIA Agent Toolkit can analyze incoming support tickets, investigate root causes using knowledge and historical data, and execute remediation across enterprise tools, completing entire workflows autonomously while maintaining full governance and control. [Learn More About IT Service Desk Agents](https://blogs.nvidia.com/blog/servicenow-autonomous-ai-agents-enterprises/) Healthcare and Life Sciences ### Health and Life Science Agents AI agents are transforming how clinicians, researchers, and developers work, from automating complex workflows across drug discovery, clinical documentation, decision support, robotics, and hospital automation to patient engagement. Built on NVIDIA’s open model infrastructure, these agents aim to accelerate discoveries and improve outcomes at every stage of the care and discovery continuum. [Learn More About Biomolecular Generation](https://www.nvidia.com/en-us/use-cases/generative-ai-for-virtual-screening.md) [See How AI Agents Can Help Medical Professionals](https://www.youtube.com/watch?v=g632EG9s1Mc) Cybersecurity ### Cyber Defense Agent Security teams face thousands of alerts daily with too little time to thoroughly investigate each one. Cyber defense digital coworkers built with NVIDIA Agent Toolkit and [Nemotron](https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron.md) reasoning models can autonomously monitor threats, triage incidents, and coordinate response—so analysts can focus on the highest-priority threats while agents handle the volume. [Learn More About Cyber Defense Agents](https://nvidianews.nvidia.com/news/enterprise-software-leaders-build-ai-agents-with-nvidia) Customer Stories ## How Industry Leaders Are Driving Innovation With Agentic AI [More Customer Stories](https://www.nvidia.com/en-us/case-studies/?page=1&useCase=Generative%20AI) Resources ## The Latest in Agentic AI Resources 1. Blogs 2. Sessions 3. Learning Paths 4. Livestreams [View All Blogs](https://blogs.nvidia.com/blog/tag/agentic-ai/) [View All Sessions](https://www.nvidia.com/en-us/on-demand/search/?facet.mimetype%5B%5D=event%20session&layout=list&page=1&q=agentic%20AI&sort=date&sortDir=desc) ### 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. [Learn How to Build an AI Agent](https://developer.nvidia.com/topics/ai/how-to-build-an-ai-agent) ### 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. [Learn How to Build a RAG AI Agent](https://developer.nvidia.com/topics/ai/how-to-build-an-agentic-rag) ### 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. [Watch Video (37:08)](https://www.youtube.com/watch?v=jb81ugc_o6I) ### 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 [Watch Video (1:00:52)](https://www.youtube.com/watch?v=f0utW0eLueY) ### 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). [Watch Video (51:17)](https://www.youtube.com/watch?v=NnUFkY3NXSo) [View All Livestreams](https://www.youtube.com/playlist?list=PL5B692fm6--vEL0FwctKghCpyEnBGAQJA) 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 Started](https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron.md) ### 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](https://www.nvidia.com/en-us/data-center/products/ai-enterprise.md). [Contact Us](https://www.nvidia.com/en-us/data-center/products/ai-enterprise/contact-sales.md) ### Stay Up to Date on NVIDIA Agentic AI News Get the latest agentic AI news, technologies, breakthroughs, and more sent straight to your inbox. [Stay Informed](https://www.nvidia.com/en-us/ai-data-science/generative-ai/news.md)