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Overview
Build Visual AI Agents and Applications
NVIDIA Metropolis is a vision AI application platform and partner ecosystem that simplifies the development, deployment, and scalability of visual AI agents deployed from the edge to the cloud. These AI agents can play a key role in helping you boost operational efficiency, enhance worker productivity, and improve safety across physical spaces such as smart cities, manufacturing, retail, and logistics.
Benefits
Why Industry Leaders Choose Metropolis
Make Spaces Smarter and Safer
Give your physical spaces the ability to perceive and reason. Metropolis combines AI with sensor and visual data to drive incredible operational efficiency and safety gains.
Enable New Levels of Productivity
Empower your frontline operators with powerful visual AI agents and applications that unlock the knowledge and insights needed to take on any task.
Unleash Powerful Visual AI Agents
Access the key building blocks for video analytics AI agents and applications with the latest VLM and CV models and microservices for video ingestion, storage, and model tuning.
Accelerate Time to Value
Tap into hundreds of Metropolis ecosystem solutions to reduce the complexity of training, building, and deploying vision AI agents and applications across a wide range of industries.
Use Cases
How Developers Use NVIDIA Metropolis
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Video Analytics AI Agents
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Automated Visual Inspection
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Intelligent Traffic Systems
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Industrial Automation
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Intelligent Retail Stores
Video Analytics AI Agents
Deploy highly perceptive, accurate, and interactive video analytics AI agents throughout factories, warehouses, retail stores, airports, and traffic intersections to search and understand volumes of live or archived video data. Your operations teams can now make better decisions faster from richer insights through natural language queries and interactions.
Starting Options
Get Started With NVIDIA Metropolis
Learn
Explore the Metropolis platform and find the building blocks that can help simplify and accelerate the creation and deployment of your visual AI agent or applications.
Try
Test state-of-the-art vision foundation models from leading AI companies that can be customized with NVIDIA TAO and deployed using NVIDIA NIM™ microservices.
Customer Success Stories
How NVIDIA Metropolis is Driving Business Value
Partners
NVIDIA Metropolis Ecosystem: Join The Movement
The NVIDIA Metropolis ecosystem is a large and growing family of over 1,000 companies bringing vision AI agents and applications to market across dozens of industries.
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Global System Integrators
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Applications Providers
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System Builders
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Solution Providers
Additional Resources
The Latest From NVIDIA Metropolis
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Industry News
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Developer News
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Sessions
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Videos
March 18, 2025
AI agents are the new digital workforce, transforming business operations, automating complex tasks and unlocking new efficiencies. Now, with the ability to collaborate, these agents can work together to solve complex problems and drive even greater impact. Businesses across industries, including sports and finance, can more quickly harness these benefits with AI-Q — a new
Read Article
March 18, 2025
Teaching autonomous robots and vehicles how to interact with the physical world requires vast amounts of high-quality data. To give researchers and developers a head start, NVIDIA is releasing a massive, open-source dataset for building the next generation of physical AI. Announced at NVIDIA GTC, a global AI conference taking place this week in San
Read Article
January 21, 2025
More than 90 million new vehicles are introduced to roads across the globe every year, leading to an annual 12% increase in traffic congestion — according to NoTraffic, a member of the NVIDIA Inception program for cutting-edge startups and the NVIDIA Metropolis vision AI ecosystem. Still, 99% of the world’s traffic signals run on fixed
Read Article
Introducing NVIDIA DGX Spark
DGX Spark brings the power of NVIDIA Grace Blackwell™ to developer desktops. The GB10 Superchip, combined with 128 GB of unified system memory, lets AI researchers, data scientists, and students work with AI models locally with up to 200 billion parameters.
Next Steps
Ready to Get Started?
Find everything you need to start developing your visual AI agent or application, including the latest documentation, tutorials, technical blogs, and more.
