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NVIDIA Metropolis

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

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NVIDIA Metropolis makes 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 create, deploy, and scale AI and IoT applications—from edge to cloud.

METROPOLIS ACROSS INDUSTRIES

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

Retail Analytics

Improve customer satisfaction, drive business efficiencies, and reduce losses.

Intelligent Traffic Systems

Use AI-based systems to manage traffic flow and improve incident reporting and preventive maintenance of road infrastructure.

Warehouse and Logistics

Monitor and control everything from what’s on each pallet and how it’s loaded to routing of shipments.

Manufacturing

Optimize industrial inspection of complex assemblies, systems ,and their interactions with human workers in the facility or factory floors.

Public Safety

Get real-time alerts for incident prevention and speed up video synopsis for forensic investigations.

Preventive Maintenance

Monitor major infrastructure elements like high-voltage lines, water distribution systems, pipelines, and bridges to avoid critical failures.

Access Control

Tap into powerful AI-powered technologies like biometrics to optimize movement of people traffic and reduce wait times.

Public Transit

Measure commuter flow and vehicle traffic to help eliminate congestion and reduce pollution.

Smart Cities

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

Intelligent Traffic Systems
Access Control
Public Transit
Law Enforcement

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READ BLOG

Retail & Logistics

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

Frictionless Checkout
Loss Prevention
Truck and Goods Routing
Inventory Management

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READ NEWS ARTICLE

Industrial & Manufacturing

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

Automated Optical Inspection
Preventive Maintenance
Remote Asset Monitoring
Safety and Compliance

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READ USE CASE

Healthcare

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

Temperature Screening
PPE Detection
Patient Monitoring
Surgery Analytics

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Build with NVIDIA Metropolis

Experience greater performance and scalability using NVIDIA DeepStream, Transfer Learning Toolkit, and CUDA-X acceleration libraries.

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.

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Transfer Learning Toolkit

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

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DeepStream SDK

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

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Deploy NVIDIA Metropolis on NVIDIA EGX for Edge Computing

Metropolis applications can be deployed using the NVIDIA EGX platform. EGX combines a range of validated servers and appliances with an end-to-end software stack to deliver the power of AI computing to the edge. This makes it easy to deploy GPU-powered systems remotely and run GPU-optimized edge AI applications to make smarter and faster decisions.

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EXPLORE EGX SERVERS

EXPLORE JETSON PARTNERS

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

Boost Innovation and Performance using NVIDIA GPUs

Announcing a Technology Collaboration for the New Era of Intelligent Edge

By enabling closer integration between Microsoft Azure and NVIDIA’s EGX platform, the companies are working together to advance edge-to-cloud AI computing capabilities, benefitting businesses worldwide.

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New NVIDIA EGX Edge Supercomputing Platform Accelerates AI and IoT at the Edge

BMW, NTT East, Procter & Gamble, Samsung Electronics, and Walmart are among the first to deploy the EGX platform to deliver AI to factories, wireless networks, and stores.

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Building Your Product Is Now Easier Than Ever.

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

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A Deeper Ecosystem Covering Broader Industries

NVIDIA Jetson Ecosystem

Get to know the companies that are a part of Jetson ecosystem to find the latest products and services for AI software development, hardware and application design services, sensors and peripherals, and more.

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NVIDIA T4 Ecosystem

Take advantage of supercharged GPU computing servers and workstations from NVIDIA partners.

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