Agentic AI Solutions
Build specialized AI agents that use your enterprise knowledge and operate within boundaries you define—with NVIDIA Agent Toolkit.
Video | Blog | For Developers
Overview
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.
Demos
Benefits
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.
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.
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.
NVIDIA builds on open source models, data, tools, and recipes, so enterprises can understand, customize, and govern how their AI agents operate.
Technology
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.
Use Cases
See how enterprises are deploying always-on agents to handle complex, high-value work.
Semiconductors
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.
All Industries
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 and Cosmos, these agents help operations teams make better decisions faster and unlock new possibilities for automation.
Enterprise IT
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.
Healthcare and Life Sciences
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.
Cybersecurity
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 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.
Customer Stories
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Next Steps