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Introduction

Date: Thursday, September 7 2023
Time: 8:00-9:00 a.m. PT
Duration: 1 hour


In this era of unprecedented data generation, Viam and NVIDIA offer fast and efficient tools to tap into machine learning and move your business ahead. This webinar will demonstrate how Viam's app and ML Model Service—coupled with the power of NVIDIA Jetson Orin Nano—make training and deploying ML models to your robots much faster and easier. In as little as five minutes, you can now deploy an ML model to your robot.


From analyzing images captured through Jetson Orin Nano-enabled cameras to detecting specific conditions with advanced sensors, we'll uncover practical applications that you can tailor to your business needs. Afterward, you’ll be able to use Viam's efficiency to speed up deployment time, so you can focus on crucial business outputs. Join us to redefine and accelerate your robotics ML capabilities.



In this webinar you'll learn:
  • How to use Viam's app and ML Model Service, combined with NVIDIA, to effortlessly train and deploy machine learning models.
  • Ways to use Viam's Module Resource Registry for discovery, usage, deployment, and management of robotic drivers and custom services.
  • Viam's hardware abstraction, which lets you seamlessly swap out components such as cameras, simplified by an auto-discovery service.
Learn more about Viam's offerings at viam.com and docs.viam.com. To start using the platform with your Jetson Orin Nano, visit app.viam.com.

Webinar Registration

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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.
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

Arielle Mella
Developer Advocate, Viam
Arielle Mella is a Developer Advocate at Viam who’s passionate about connecting with fellow enthusiasts through engaging workshops, conferences, and hands-on events. She loves developing technical talks and supporting the community in their robotics projects, always ready to show how Viam can make their ideas come to life.
Alexa Greenberg
Engineering Lead, Viam
Alexa Greenberg is the Engineering Lead on Viam's Data and Machine Learning Team, where she oversees the services that enable capturing and syncing data from robots, as well as performing machine learning on that data within Viam. With a background in machine learning and computer vision, she's right at home with these challenges. Outside of work, she loves running, hiking, and reading.
Amit Goel
Director Product Management, NVIDIA
Amit Goel is Director of Product Management for Autonomous Machines at NVIDIA, where he leads the product development of NVIDIA Jetson, the most advanced platform for AI computing at the edge. Amit has more than 15 years of experience in the technology industry working in both software and hardware design roles. Prior to joining NVIDIA in 2011, he worked as a senior software engineer at Synopsys, where he developed algorithms for statistical performance modeling of digital designs. Amit holds a Bachelor of Engineering in electronics and communication from Delhi College of Engineering, a Master of Science in electrical engineering from Arizona State University, and an MBA from the University of California at Berkeley.
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Date & Time: Wednesday, April 22, 2018