DGX Orientation

Our DGX Orientation is a walkthrough of the capabilities, software, and tools provided through NGC and best practices for using the NVIDIA DGX™ platform. Our goal is to answer your questions and help teams get the most from the DGX system as quickly as possible. Participants will learn about the end-to-end accelerated software, frameworks, and applications in the NVIDIA platform, as well as how to run and customize these tools for your use cases.

DGX Orientation attendees can expect an interactive, virtual classroom, designed to help them learn, share, and explore. Participants will learn best practices for using DGX alongside teammates, as well as how to access, run, and update the various AI technologies discussed. Upon completion, attendees should feel comfortable getting started with DGX and migrating any existing in-progress work to the platform and NVIDIA GPU-optimized frameworks.

Together, we will explore:

An overview of DGX and NGC

Deep learning training and inference .

A hands-on demo from one of several AI fields (CV, NLP, RecSys, and more)

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Speakers

Avinash Kaur

Data Scientist, NVIDIA

Avinash is a Deep Learning Data Scientist at NVIDIA, focused on scaling AI applications on large clusters. Previously, she was a Machine Learning Engineer at a Biomedical Imaging startup where she developed a wide range of supervised, semi-supervised, and generative models to successfully train robust deep learning models now deployed in multiple medical institutes. Avinash holds a Master's degree in Electrical Engineering from the University of Southern California, focused on Machine Learning, and Multimedia Systems.

Suchismita Sahu

Data Scientist, NVIDIA

Suchismita is a Data Scientist at NVIDIA focusing on solving Conversational AI and Deep Learning challenges for customers and Profiling and Optimization of Deep Learning workloads. Prior to joining NVIDIA, her research focused on Speech Recognition and Natural Language processing. Suchismita holds a Master’s degree in Electrical Engineering from the University of Southern California focused on Machine Learning and Data Science.

Mehrnaz Amjadi

Data Scientist, NVIDIA

Mehrnaz is a data scientist at NVIDIA focusing on training and inference of AI models at scale. Before joining NVIDIA, she worked on time series and graph structures in NLP and RecSys in the networking and retail industries. Mehrnaz has a Ph.D. in Machine Learning and a Master's degree in Business Analytics from the University of Illinois.

Amit Kumar

Senior Solutions Architect - Deep Learning, NVIDIA

Amit Kumar works as a Senior Solutions Architect - Deep Learning at NVIDIA. He completed his B. Tech in 2010 from IIT Guwahati. He has previously worked at HP Research Lab, VMware, EFI and got the opportunity to complete internships at Google as a Summer of Code student, Indian Statistical Institute Kolkata, Technical University of Braunschweig Germany. He has 7 patents in the areas of Deep learning, NLP, Classical Machine Learning, statistical modelling, Industry 4.0, and 3D printing. His areas of interest include NLP, Computer Vision, Deep Learning, Statistical Learning, ASR, TTS, GPUs, accelerated computing, AI for Industry 4.0, AI for Healthcare, AI for Robotics.

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Select one of the following webinars

THANK YOU FOR REGISTERING FOR THE WEBINAR

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Speakers

Avinash Kaur

Suchismita Sahu

Mehrnaz Amjadi

Amit Kumar

Other Speakers

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