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cover of episode End-to-end cloud compute for AI/ML

End-to-end cloud compute for AI/ML

2023/3/7
logo of podcast Practical AI: Machine Learning, Data Science, LLM

Practical AI: Machine Learning, Data Science, LLM

Shownotes Transcript

We’ve all experienced pain moving from local development, to testing, and then on to production. This cycle can be long and tedious, especially as AI models and datasets are integrated. Modal is trying to make this loop of development as seamless as possible for AI practitioners, and their platform is pretty incredible!

Erik from Modal joins us in this episode to help us understand how we can run or deploy machine learning models, massively parallel compute jobs, task queues, web apps, and much more, without our own infrastructure.

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  • 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).

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