AI delivers powerful new ways to create more sustainable cities, maintain infrastructure, and improve public services for residents and communities. It all starts with the ability to gather data from trillions of sensors and other IoT devices and extract actionable insights through the NVIDIA Metropolis platform for Intelligent Video Analytics (IVA).
Process and analyze data in real time to improve operational efficiency, resource allocation, and disaster response.
Deploy AI from the edge to the cloud with a range of appliances, from the NVIDIA® Jetson Nano™ handling a city’s traffic cameras, to an entire fleet of NVIDIA T4 GPUs.
Explore NVIDIA’s growing list of 100+ software partners, along with server manufacturers and custom appliance makers to deploy industry-specific solutions.
Extract valuable insights from large quantities of video and sensor data with NVIDIA Metropolis for smart cities. Build with a powerful set of software tools, including the DeepStream SDK, TAO Toolkit, pre-trained models on NGC, and NVIDIA TensorRT™. Take advantage of containers to package these applications in a cloud-native format for flexible deployment that can be easily scaled out with the NVIDIA EGX.
Deploy AI at the edge with the NVIDIA EGX platform for real-time insights.
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 that benefit businesses worldwide.
Verizon is helping to create safer streets, improve traffic flows, aid navigation of vehicles and pedestrians, and reduce energy costs and consumption through AI-enabled, sensor-based networks that leverage LED street lighting infrastructure. With NVIDIA Metropolis, Verizon is using actionable data to make better urban-planning decisions and quantify the results.
Miovision’s Open City platform gets data from existing city infrastructure and the company’s own video cameras, and applies AI to create insights to optimize traffic operation.
Searidge, using advanced AI, NVIDIA GPUs, and deep learning tools, enables airports to detect a greater assortment of objects and even deduce when such objects might cause unexpected delays. This solution can help airports reduce taxi and wait times, handling 15-30 percent more aircrafts per hour.