AI at the Edge: Bringing SuperComputing Performance to the Data
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Solving hard problems in Defense, Aerospace, Autonomous Vehicles, Security, Personalized Medicine and more by leveraging massive NVIDIA enabled AI solutions and ARM processors designed for the unique size, power and rugged requirements of the edge.
Jim Ison, Chief Sales and Marketing Officer, OSS
Ying Yin Shih, Director of Product Management, NVIDIA
Larry Wilkelius, Vice President Ecosystem and Solutions, Marvell
Article Featured on InsideHPC
Intelligent Video Analytics Pushes Demand for High Performance Computing at the Edge
By 2020, over a billion video cameras used in commercial applications will be deployed, generating an avalanche of raw video data.
In many cases, transforming this data to actionable intelligence requires deploying artificial intelligence and high performance computing capability at the data source. These diverse applications power smart city infrastructure, public safety and security systems, and drive business intelligence insights. In smart cities, video analytics is used for traffic management, parking optimization, crowd management, and infrastructure monitoring. Public safety and security applications at private and public sites including airports, sports arenas, and shopping malls are used for perimeter intrusion and anomaly detection, threat tracking, and importantly today, in mass health monitoring to identify potential virus hot spots when coupled with infrared thermometers.