Red Hat and NVIDIA bring scalable, efficient edge computing to smart cities

Teams from Red Hat and NVIDIA have collaborated on creating a scalable hybrid cloud application that could revolutionize smart city initiatives such as traffic-flow monitoring and transportation management around the world. By working together, the two companies are creating solutions that make cities smarter and more efficient by taking sensor data and processing it in real-time to provide insights for traffic congestion, pedestrian flow, and infrastructure maintenance.

Running on top of the NVIDIA EGX platform with the NVIDIA GPU Operator, the application is built with NVIDIA’s Metropolis application framework for IoT that brings together innovative capabilities for real-time image processing where NVIDIA DeepStream SDK is used to extract metadata from live video streams at the edge. It then forwards the right metadata to the cloud for deeper analytical processing and further representation in an information dashboard depicted below.

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