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.
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Share Your Science: High Performance Computing for Network Intelligence
May 27, 2016
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AI-Generated Summary
- Hugo Latapie, principal engineer at Cisco, uses NVIDIA GPUs and deep learning for various applications, including encrypted network traffic classification and crowd analytics.
- Latapie's team leverages NVIDIA-Docker to share machines with different GPUs, creating architecture-agnostic deep learning pipelines.
- The use of NVIDIA GPUs and deep learning is enhancing Cisco's products with advanced features like video compression and state-of-the-art analytics.
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