About this event

Running ML workflows involves a lot of hurdles, especially if you don’t have a FAANG-level ML infrastructure. Classical MLOps platforms provide a certain level of automation but often require a complex setup and may stand in the way more than help. Particularly, if you want to run modular code (rather than spread it over a notebook), use Git, and your favourite code editor and terminal. Join this meet-up to learn more about the tool, and general best practices related to setting up your dev environment for ML.

Speaker

Andrey Cheptsov is the creator of dstack, a very lightweight open-source utility that allows to provision ML infra via command-line. He is passionate about open-source and developer tools for AI. Previously, Andrey worked at JetBrains with the PyCharm team.