1. [Home ](/) Metropolis # NVIDIA Metropolis NVIDIA Metropolis is a collection of models, libraries, and skills that provides everything you need to build, deploy, and scale [video analytics AI agents](https://www.nvidia.com/en-us/use-cases/video-analytics-ai-agents/) and applications, from the edge to the cloud. You can now easily transform raw video and sensor data from real-world environments into real-time, actionable insights. This helps your organization understand what’s happening in your physical spaces and respond intelligently, while delivering exceptional scale, throughput, cost-effectiveness, and faster time to production. [Get Started ](https://build.nvidia.com/nvidia/video-search-and-summarization "Get Started")[Join the Forum](https://forums.developer.nvidia.com/c/accelerated-computing/intelligent-video-analytics/13 "Join the Forum") * * * ## How Metropolis Works Metropolis offers a cohesive, end-to-end stack of software building blocks and agent skills that handle everything from video ingestion to insight generation to advanced agentic AI-powered analytics. These components can be deployed consistently across the whole compute spectrum—on the edge, in on-prem servers, or in the cloud—so the same applications can run close to where data is generated or centrally at scale. ![NVIDIA Metropolis stack showing models, tools and libraries, and blueprints running on NVIDIA hardware to support visual AI agents for cities, safety, manufacturing, logistics, and retail.](https://developer.download.nvidia.com/images/metropolis/robotics-dgm-metropolis-stack-1920x1080.png) ### Agentic Video Search at Scale With NVIDIA VSS Blueprint and Skills Build custom visual AI agents in minutes with NVIDIA VSS skills. Explore new agentic skills, modular architecture, and reference workflows to turn videos into actionable insights. [Read the Blog](https://developer.nvidia.com/blog/lower-the-cost-of-building-and-running-visual-ai-agents-with-nvidia-vss-blueprint-3-3/) ### Fine-Tune World Models With NVIDIA Cosmos Frameworks Try an open source framework and skills for fine-tuning, distillation, inference acceleration, and deployment of vision AI models. [Try NVIDIA Cosmos™ Framework ](https://github.com/NVIDIA/cosmos-framework) [Read the Blog ](https://blogs.nvidia.com/blog/cosmos-open-train-evaluate-deploy-world-models%20) ### Solve the Training Data Challenge With Agentic Blueprints Use agentic blueprints to quickly curate, label, and generate synthetic data for visual inspection or augment videos and images for specific events, attributes, or edge cases. [Try Cosmos Data Factory](https://github.com/NVIDIA/cosmos-data-factory) * * * ## Get Started With Metropolis ### Models That Power Visual AI Agents ![decorative icon](https://developer.download.nvidia.com/icons/m48-cosmos.svg) ### NVIDIA Cosmos Meet the first OmniModel that sees, reasons, generates many outcomes, and teaches physical agents how to act in the real world. [Try It Now](https://build.nvidia.com/nvidia/cosmos-reason2-8b) ![decorative icon](https://developer.download.nvidia.com/icons/nim.svg) ### NVIDIA Nemotron™ Build powerful AI agents with efficient, open large language models for advanced reasoning, multimodal understanding, and complex workflows. [Try It Now](/topics/ai/nemotron) ![decorative icon](https://developer.download.nvidia.com/icons/m48-neural-network-3.svg) ### Embeddings Turn images, videos, and text into vector representations for physical AI and multimodal understanding using NVIDIA models like Cosmos Embed, C-RADIO, and NV-CLIP. [Explore Cosmos Embed](https://docs.nvidia.com/nim/cosmos-embed1/latest/introduction.html) [Explore C-RADIO](https://huggingface.co/nvidia/C-RADIOv4-H) [Explore NV-CLIP](https://catalog.ngc.nvidia.com/orgs/nim/teams/nvidia/containers/nvclip?version=2.0.0) ![decorative icon](https://developer.download.nvidia.com/icons/nim.svg) ### NVIDIA Kumo Turn connected business data into predictions, forecasts, and recommendations—without training a separate model for each task. [Try It Now](https://build.nvidia.com/nvidia/kumo-relational/modelcard) ![decorative icon](https://developer.download.nvidia.com/icons/nim.svg) ### Frontier Models Use leading AI models that enable advanced reasoning and understanding across text, images, and video. [Learn More](https://www.nvidia.com/en-us/glossary/frontier-models/) ### Tools and Libraries to Build, Train, and Customize Your Agents ![decorative icon](https://developer.download.nvidia.com/icons/m48-cosmos.svg) ### Cosmos Frameworks Explore open source frameworks and skills for fine-tuning, distillation, inference acceleration, and deployment of vision AI models. [Learn More](https://github.com/NVIDIA/cosmos-framework) ![decorative icon](https://developer.download.nvidia.com/icons/m48-neural-network-3.svg) ### Cosmos Data Factory Build a synthetic data generation pipeline with your own video or image data. Then, curate, augment, and evaluate it with Cosmos open models to accelerate vision AI model development. [Try Cosmos Data Factory Blueprints](https://github.com/NVIDIA/cosmos-data-factory) ![decorative icon](https://brand-assets.cne.ngc.nvidia.com/assets/marketing-icons/2.4.2/multi-camera.svg) ### Multi-Camera Tracking Explore open source frameworks and skills for fine-tuning, distillation, inference acceleration, and deployment of vision AI models. [Learn More](https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization/tree/develop/skills/deployment/vss-deploy-detection-tracking-3d) ![decorative icon](https://developer.download.nvidia.com/icons/nim.svg) ### NeMo Switchyard Route agent workloads across specialized and frontier models to balance performance, cost, and efficiency. [Try It Now](https://github.com/NVIDIA-NeMo/Switchyard) ### Start developing vision AI applications with foundational Metropolis frameworks. ![decorative icon](https://developer.download.nvidia.com/icons/building-agentic-ai-application-with-large-language-model.svg) ### NVIDIA Metropolis Blueprint For Video Search and Summarization (VSS) The VSS blueprint lets you build customizable video analytics AI agents to deliver powerful insights with seamless edge-to-cloud integration. VSS also brings skills to build these agents from simple natural language prompts using coding agents. [Try It Now](https://build.nvidia.com/nvidia/video-search-and-summarization) ![decorative icon](https://brand-assets.cne.ngc.nvidia.com/assets/marketing-icons/2.4.2/factory-1.svg) ### Factory Operations Blueprint Build always-on manager agents that identify issues, adapt AI models, and coordinate action across specialized agents - turning fragmented operations data into action. [Apply for Early Access](http://developer.nvidia.com/factory-operations-blueprint-early-access) ![decorative icon](https://brand-assets.cne.ngc.nvidia.com/assets/marketing-icons/2.4.2/robotics-industry.svg) ### NVIDIA Halos Outside-In Safety Blueprint Extends robot perception using external cameras when building safety agents. [Try It Now](https://github.com/NVIDIA/halos-outside-in-safety) * * * ## Starter Kits ### Develop Video Analytics AI Agents Build intelligent systems that can see, understand, and interact with the world through computer vision and real-time visual reasoning. - [VSS Blueprint Github](https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization) - [VSS Documentation](https://docs.nvidia.com/vss/latest/) - Tech Blog: [Lower the Cost of Building and Visual AI Agents](https://developer.nvidia.com/blog/lower-the-cost-of-building-and-running-visual-ai-agents-with-nvidia-vss-blueprint-3-3/?ncid=so-yout-868035) - Tutorial: [Build a Visual AI Agent in Under 30 Minutes](https://www.youtube.com/watch?v=PPXoPSCdGyU) - [Livestream recording](https://www.youtube.com/watch?v=PQJKs1dyK7I) - [All other VSS tech blogs](https://developer.nvidia.com/blog/tag/video-search-summarization/) - [Deploy VSS on Cloud](https://brev.nvidia.com/launchable/deploy?launchableID=env-2tYIjRXL4eMCbH9Az8mJC5WPAI4) ### Build Agents for Smart City and Warehouse Operation Explore examples for optimized VSS blueprint configuration with sample data, tailored prompts, and report templates. - [VSS smart city example](https://docs.nvidia.com/vss/3.1.0/smartcity-docs/smartcity-toc.html) - [VSS warehouse operation example](https://docs.nvidia.com/vss/3.1.0/warehouse-docs/warehouse-toc.html) ### Post-Train NVIDIA Cosmos 3 Boost accuracy for your use cases with LoRA and supervised Fine-tuning using NVIDIA Cosmos Framework - GitHub: [Open source framework for training, post-training, and deploying physical AI and world models](https://github.com/NVIDIA/cosmos-framework). - Livestream: [Watch Cosmos 3 Post-Training in Action With Aigen and Linker Vision](https://www.youtube.com/watch?v=oJF_6HgA46E) ### Generate Synthetic Data Create synthetic images and videos to expand training datasets, reduce collection costs, and improve vision model robustness across diverse scenarios. - [Agentic Blueprint for Defect Image Generation on GitHub](https://github.com/NVIDIA/skills/tree/main/skills/cdf-defect-image-generation) - [Agentic Blueprint for Event Video Generation](https://github.com/NVIDIA/skills/tree/main/skills/cdf-event-video-generation) - [Agentic Blueprint for Image Attribute Augmentation](https://github.com/NVIDIA/skills/tree/main/skills/cdf-image-attribute-augmentation) - [Agentic Blueprint for Video Augmentation on GitHub](https://github.com/NVIDIA/skills/tree/main/skills/cdf-video-data-augmentation) * * * ## More Resources ![Decorative image representing Developer Community](https://developer.download.nvidia.com/icons/m48-people-group.svg) ### Explore Developer Forums ![Decorative image representing Developer Newsletter](https://developer.download.nvidia.com/icons/m48-email-settings.svg) ### Sign up for the Developer Newsletter ![Decorative image representing Developer Community](https://developer.download.nvidia.com/icons/m48-developer-1.svg) ### Join the NVIDIA Developer Program * * * ## Ethical AI NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their supporting model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse. For more detailed information on ethical considerations for this model, please see the Model Card++ Explainability, Bias, Safety & Security, and Privacy Subcards. Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/). Develop, deploy, and scale AI-enabled video analytics applications with NVIDIA Metropolis. [Get Started](https://build.nvidia.com/nvidia/video-search-and-summarization)