NVIDIA Metropolis

Automate physical spaces and infrastructure with interactive visual AI agents and services.

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

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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.

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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.

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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.

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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

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.

Develop Generative AI Applications With NVIDIA VIA

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

NVIDIA Metropolis AI and Jetson

Deltia AI Delivers Assembly Line Gains

Deltia helps customers such as Viessman and ABB boost productivity on production lines by as much as 20% by capturing visual insights powered by NVIDIA Metropolis AI and Jetson™.

NVIDIA AI and Accelerated Computing

NoTraffic Reduces Road Delays and Carbon Emissions

NoTraffic helps mitigate car accidents, reduce traffic delays,  and lower carbon emissions from vehicles in cities such as Tuscon, Arizona, and Vancouver, Canada.

NVIDIA Metropolis and NIM

Taiwan Electronics Giants Drive Industrial Automation

Large electronics companies Foxconn, Pegatron, and Wistron—are building automated inspection applications for complex and high-volume products to streamline operations and reduce costs.

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. 

deloitte
accenture
EY
hcl-tech
infosys
tcs

Additional Resources

The Latest From NVIDIA Metropolis

NVIDIA Unveils AI-Q Blueprint to Connect AI Agents for the Future of Work
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
NVIDIA Unveils Open Physical AI Dataset to Advance Robotics and Autonomous Vehicle Development
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
NoTraffic Reduces Road Delays, Carbon Emissions With NVIDIA AI and Accelerated Computing
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.

Read the Latest Metropolis News

NVIDIA Unveils AI-Q Blueprint to Connect AI Agents for the Future of Work
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
NVIDIA Unveils Open Physical AI Dataset to Advance Robotics and Autonomous Vehicle Development
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
NoTraffic Reduces Road Delays, Carbon Emissions With NVIDIA AI and Accelerated Computing
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
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