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Date: Thursday, September 2, 2021
Time: 10:00am – 11:00am PT
Duration: 1 hour

Organizations across industries are using AI to help build better products, streamline operations, and increase customer satisfaction.

Today, speech recognition services are deployed in financial organizations to transcribe earnings calls, in hospitals to assist doctors writing patient notes, and in video broadcasting for live captioning.

Under the hood, researchers and data scientists are building hundreds of AI models to experiment and identify the most impactful models to deploy for their use cases.

PyTorch Lightning, an AI framework built on top of PyTorch, simplifies coding, so researchers can focus on building models and reduce time spent on the engineering process. It also speeds up the development of hundreds of models by easily scaling on GPUs within and across nodes.

By joining this webinar, you’ll learn:
  • About the benefit of using PyTorch Lightning and how it simplifies building complex models
  • How NVIDIA NGC™ helps accelerate AI development by simplifying software deployment
  • How researchers can quickly build models using PyTorch Lightning from NGC on AWS
Join us after the presentation for a live Q&A session.


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DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.


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Chintan Patel

Senior Product Marketing Manager, NGC, NVIDIA

Chintan Patel is a senior product manager at NVIDIA focused on bringing GPU-accelerated solutions to the high-performance computing (HPC) community. He leads the management and offering of HPC application containers in the NGC catalog. Prior to NVIDIA, he held product management, marketing, and engineering positions at Micrel, Inc. He holds an MBA from Santa Clara University and a bachelor's degree in electrical engineering and computer science from UC Berkeley.

Ryan Vanderwerf

Partner Solutions Architect, Amazon Web Services (AWS)

Ryan Vanderwerf is a partner solutions architect at Amazon Web Services. He previously did Java virtual machine-focused consulting and project development as a software engineer at Object Computing, Inc. (OCI) on the Grails and Micronaut team. He was chief architect and director of products at ReachForce, with a focus on software and system architecture for AWS Cloud software-as-a-service (SaaS) solutions for marketing data management. Ryan has built several SaaS solutions in several domains, including financial, media, telecom, and e-learning, since 1996.

Ari Bornsetin

Head of Developer Advocacy,

Aaron (Ari) Bornstein is an AI researcher with a passion for history, engaging with new technologies, and computational medicine. As head of developer advocacy at, he collaborates with the machine learning community to solve real-world problems with game-changing technologies that are then documented, open-sourced, and shared with the rest of the world.

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Webinar: Description here

Date & Time: Wednesday, April 22, 2018