3D assets & simulation at NVIDIA
from Practical AI Hosted by Daniel Whitenack and Chris Benson
What’s the current reality and practical implications of using 3D environments for simulation and synthetic data creation? In this episode, we cut right through the hype of the Metaverse, Multiverse, Omniverse, and all the “verses” to understand how 3D assets and tooling are actually helping AI developers develop industrial robots, autonomous vehicles, and more. Beau Perschall is at the center of these innovations in his work with NVIDIA, and there is no one better to help us explore the topic! Sponsors: Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring: Beau Perschall – LinkedIn, X Chris Benson – Website, GitHub, LinkedIn, X Daniel Whitenack – Website, GitHub, X Show Notes: NVIDIA’s Omniverse Beau’s GTC 2023 session around how to build simulation-ready USD 3D assets Tech blog around Omniverse and SimReady assets Upcoming Events: Register for upcoming webinars here!
Embed this episode
Chapters
- 0:00 Welcome to Practical AI
- 0:42 Beau Perschall
- 5:29 Omniverse 101
- 10:27 What can you do in the omniverse?
- 13:25 Will Omniverse be unique for everyone?
- 20:12 Will Omniverse have good 3D?
- 26:39 Omniverse in context
- 30:43 Synthetic data
- 35:30 Nvidia's plan for low internet areas
- 38:43 What keeps you up at night?
- 41:11 Wrap up
- 41:46 Outro
No transcript yet.