Chetan Tekur and Fraser Gardiner, Nvidia
This tutorial will cover the Nvidia’s “NGC” containers for deep learning including: which Deep Learning Frameworks and utilities are provided in Nvidia NGC containers; how to access and use these containers; which GPUs and cloud services can run Nvidia NGC containers; sample and example code included in Nvidia NGC containers which implement Deep Learning models; latest features to simplify achieving optimum performance and support for multi-node training.
Chetan Tekur, Nvidia
Chetan Tekur is a field applications engineer and solutions architect at Nvidia, where he's focused on CSP and networking customers. Chetan has 11+ years of experience in HW industry focusing on pre-sales/post-sales support, technology evangelization, and customer management. He has a Master’s degree in Electrical Engineering from NC State University.
Fraser Gardiner, Nvidia
author = {Chetan Tekur and Fraser Gardiner},
title = {Nvidia {{\textquotedblleft}NGC{\textquotedblright}} Deep Learning Containers},
year = {2019},
address = {Santa Clara, CA},
publisher = {USENIX Association},
month = may
}