NVIDIA Metropolis

Transform data from trillions of AI and IoT devices into valuable insights.

NVIDIA Metropolis is an application framework, set of developer tools, and partner ecosystem that brings visual data and AI together to improve operational efficiency and safety across a broad range of industries. It helps make sense of the flood of data created by trillions of sensors for frictionless retail, streamlined inventory management, traffic engineering in smart cities, optical inspection on factory floors, patient care in healthcare facilities, and more. With cutting-edge technology and an extensive developer ecosystem, businesses can now create, deploy, and scale AI and IoT applications—from the edge to the cloud.

Metropolis Across Industries

This advanced platform delivers tremendous advantages across a wide range of industries.

Smart Cities

Smart Cities

Maintain and improve city infrastructure, parking spaces, buildings, and public services.

  • Intelligent Traffic Systems
  • Access Control
  • Public Transit
  • Smart Buildings
Retail & Logistics

Retail & Logistics

Improve customer satisfaction, in-store analytics, and business efficiency.

  • Frictionless Checkout
  • Loss Prevention
  • Truck and Goods Routing
  • Inventory Management
Industrial & Manufacturing

Industrial & Manufacturing

Improve industrial inspection, increase productivity, and reduce waste on manufacturing lines.

  • Automated Optical Inspection
  • Preventive Maintenance
  • Remote Asset Monitoring
  • Safety and Compliance
Healthcare

Healthcare

Improve patient care, ensure public safety, and enhance operational efficiency at healthcare facilities.

  • Temperature Screening
  • PPE Detection
  • Patient Monitoring
  • Surgery Analytics

 

AI applications

Making our Spaces Smarter with AI-Enabled Video Analytics

A new generation of AI applications is being rolled out with NVIDIA Metropolis to drive incredible operational efficiency and safety gains across a broad range of use cases. Download this free e-book to learn how NVIDIA Metropolis is helping to build smarter spaces around the world.

Build with NVIDIA Metropolis

Experience greater performance and scalability using NVIDIA DeepStream, TAO Toolkit, and CUDA-X acceleration libraries. Explore the full set of NVIDIA tools to super-charge your AI-powered video analytics development and deployment effort.

Pre-Trained Models

Trained on large datasets, these purpose-built, customizable models can help eliminate the need to build models from scratch and improve accuracy.

TAO Toolkit

Accelerate deep learning training tasks and get to market faster by applying effective transfer learning and training with purpose-built, pre-trained models.

DeepStream SDK

Get significant improvements in performance and throughput with this robust, AI-powered, real-time video analytics SDK.

Explore how other top AI teams utilize NVIDIA Metropolis tools to develop AI enabled video analytics solutions.

Deploy NVIDIA Metropolis on NVIDIA EGX for Edge Computing

Metropolis applications can be deployed on the NVIDIA EGX platform, which securely delivers the power of accelerated AI computing to the edge with a range of validated servers and devices and a vast ecosystem of partners. With the integration of NVIDIA Fleet Command administrators of any skill level can deploy Metropolis applications across GPU-powered systems in minutes.

Recommender for Custom Support with NVIDIA Omniverse

Project Tokkio is an AI-powered talking kiosk reference application that leverages NVIDIA Metropolis vision AI and NVIDIA Riva speech AI technology to communicate with customers. It uses NVIDIA NeMo Megatron-Turing 530B, a state-of-the-art language model for understanding intent and NVIDIA Merlin to make meaningful recommendations. The 3D avatar is animated and visualized with Omniverse to deliver a visually stunning customer service experience—all in real-time.

At Seagate, we have deployed an intelligent edge GPU-based vision solution in our manufacturing plants to inspect the quality of our hard disk read-and-write heads. The NVIDIA EGX platform dramatically accelerates inference at the edge, allowing us to see subtle defects that human operators haven’t been able to see in the past. We expect to realize up to a 10 percent improvement in manufacturing throughput and up to 300 percent ROI from improved efficiency and better quality.

— Bruce King, Senior Principal Data Scientist, Seagate Technology

AI is fundamental to achieving precision health and must be pervasively available from the cloud to the edge and directly on medical devices. NVIDIA’s EGX enables GE Healthcare to deliver rapid [magnetic resonance (MR)] acquisition times, improves image quality, and reduces variability by embedding NVIDIA T4 GPUs directly into our medical devices—all to further our goal of improving patient outcomes. Real-time, critical-care use cases demand AI at the edge. This is why we created our Edison intelligence offering and partnered with NVIDIA to bring AI into our medical devices and Edison edge appliances—and why we are working with ACR AI-LAB to democratize AI.

— Jason Polzin, PhD, General Manager of MR Applications at GE Healthcare

Red Hat is committed to providing a consistent experience for any workload, footprint, and location, from the hybrid cloud to the edge. By combining Red Hat OpenShift and NVIDIA EGX-enabled platforms, customers can better optimize their distributed operations with a consistent, high-performance, container-centric environment.

— Chris Wright, Chief Technology Officer, Red Hat

Avitas is working to revolutionize asset integrity management through our innovative digital inspection and prediction platform. Our unique approach combines advanced analytics with autonomous inspection techniques helping our customers to provide safer, cleaner and more efficient energy solutions. NVIDIA is an important partner in helping to scale our edge capabilities with the EGX Platform.

— Jason Roe, CEO – Avitas Systems, a Baker Hughes Venture

Mellanox SmartNICs and switches provide the ideal [input/output (I/O)] connectivity for data access that scale from the edge to hyperscale data centers. The combination of high-performance, low-latency, and accelerated networking provides a new infrastructure tier of computing that is critical to efficiently access and supply the data needed to fuel the next generation of advanced AI solutions on edge platforms such as NVIDIA EGX.

— Michael Kagan, Chief Technology Officer, Mellanox Technologies

Building Your Product Is Now Easier Than Ever.

Discover how leading software partners are redefining what’s possible with NVIDIA Metropolis.

A Deeper Ecosystem Covering Broader Industries

NVIDIA Metropolis Software Partners

Choose from 100+ partner software offerings for an integrated custom solution to meet your exact needs.

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