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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Featuring:

Erik Bernhardsson – Twitter, GitHub, Website
Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

Something missing or broken? PRs welcome!

End-to-end cloud compute for AI/ML 44:21 Share

Practical AI: Machine Learning, Data Science, LLM

Shownotes Transcript

End-to-end cloud compute for AI/ML