Hugo Latapie, principal engineer at Cisco shares how they are using NVIDIA GPUs and deep learning in their products for a variety of applications such as encrypted network traffic classification, video compression and state-of-the-art crowd analytics.
Latapie also covers how his team takes advantage of NVIDIA-Docker to share machines with different kinds of GPUs and create deep learning pipelines that are architecture agnostic.
Share your GPU-accelerated science with us at http://nvda.ly/Vpjxr and with the world on #ShareYourScience.
Watch more scientists and researchers share how accelerated computing is benefiting their work at http://nvda.ly/X7WpH
