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Deep learning in Rust with Burn 🔥 episode artwork

Oct 24, 2023 40 min

Deep learning in Rust with Burn 🔥

from Practical AI Hosted by Daniel Whitenack and Chris Benson

It seems like everyone is interested in Rust these days. Even the most popular Python linter, Ruff, isn’t written in Python! It’s written in Rust. But what is the state of training or inferencing deep learning models in Rust? In this episode, we are joined by Nathaniel Simard, the creator burn. We discuss Rust in general, the need to have support for AI in multiple languages, and the current state of doing “AI things” in Rust. Sponsors: Neo4j – NODES 2023 is coming in October! 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: Nathaniel Simard – GitHub, LinkedIn, X Chris Benson – Website, GitHub, LinkedIn, X Daniel Whitenack – Website, GitHub, X Show Notes: burn-rs: This library strives to serve as a comprehensive deep learning framework, offering exceptional flexibility and written in Rust. Upcoming Events: Register for upcoming webinars here!

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Deep learning in Rust with Burn 🔥

0:00 40:34

Chapters

  1. 0:00 Welcome to Practical AI
  2. 0:34 Sponsor: Neo4j
  3. 1:43 Nathaniel Simard & Burn
  4. 3:01 What is Rust?
  5. 4:53 Go & Rust
  6. 5:52 Not so low-level
  7. 7:18 Rust features
  8. 9:43 Rust workflow
  9. 13:33 The Rust community
  10. 14:45 The reason for Burn
  11. 17:17 Rust ecosystem
  12. 18:42 Challenges in Rust
  13. 21:03 Low-level advantage
  14. 22:27 Current Burn support
  15. 23:38 What are people using Burn for?
  16. 25:15 Organizing Burn development
  17. 26:26 Pushing the limits
  18. 28:50 Burn features
  19. 30:27 Versatile backends
  20. 31:51 The Burn book
  21. 32:42 Where users come from
  22. 34:00 Newbie PoV of Burn
  23. 36:16 Future of Burn
  24. 38:04 Getting started
  25. 39:16 Thanks for joining us
  26. 39:45 Outro (Changelog Beats!)

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This episode was published on October 24, 2023.

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