Disaster response is a critical stage of disaster management and it requires quick decision-making. Deep learning–based inference systems can help you make intelligent predictions, —quickly—based on input data to provide insights in areas such as causal and location inferences.

This webinar is the first in a series of NVIDIA Federal webinars that will demonstrate how to train and deploy deep learning models. It will share real applications, such as disaster relief operations, which run anywhere from the tactical edge to the cloud.

Learn how to accelerate your AI inference applications by using NVIDIA’s TensorRT platform. Jonathan Howe, NVIDIA Solution Architect, will walk you through a TensorRT demo and answer your questions.

• Train and deploy your deep learning model in the confines of its framework.

• Optimize the layers of your deep learning model with TensorRT.

• Develop a runtime into an application that operates on any NVIDIA GPU-accelerated platform.

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