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Introduction

Date: 01 Jan 2019
Time: 10:00am – 11:00am GMT
Duration: 1 hour


In this webinar, AWS and NVIDIA will walk through how to deploy NVIDIA DeepStream apps at scale and update machine learning models on NVIDIA Jetson devices with AWS IoT Greengrass. If you're a solution architect or developer, register to explore solutions that deploy trained machine learning models on edge devices with DeepStream, in a manageable, scalable and secure manner.

By attending this webinar, you will explore

  • NVIDIA DeepStream introduction, software stack, architecture and use of custom plugins to help communicate externally to the cloud or analytics server
  • How AWS IoT Greengrass helps deploy and manage DeepStream applications and machine learning models to Jetson modules
  • A use case that demonstrates the workflow of deploying machine learning models, updating and monitoring a DeepStream sample application from the AWS cloud to an NVIDIA Jetson Nano 

WEBINAR REGISTRATION

THANK YOU FOR REGISTERING FOR THE WEBINAR



You will receive an email with instructions on how to join the webinar shortly.

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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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Speakers

Yuxin Yang

IoT consultant, AWS

Yuxin is an IoT architect at AWS, certified in the AWS Machine Learning Specialty. She enables customers to accelerate their outcomes through building end-to-end IoT solutions, including edge computing, data ingestion, data analytics, and deployment at scale. Yuxin earned her MS from Stanford University, where she focused on deep learning and big data analytics.

Jin Li

Data Scientist, NVIDIA

Jin Li is a Data Scientist at NVIDIA, working on applying deep learning models in different domains, such as Intelligent Video Analytics and Natural Language Processing. Prior to NVIDIA, Jin earned her MS in Machine Learning from Carnegie Mellon University, where she focused on deep learning applications for computer vision.

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Register

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Date & Time: Wednesday, April 22, 2018