Webinar "dstack – a command-line utility to provision infrastructure for ML workflows"
Unlike traditional development workflows, ML workflows are difficult to run on a local machine (due to the lack of memory, more CPUs/GPUs, etc). Imagine, if you could run your ML workflows the very same way as you do it locally, but they would run in the cloud. And you
Unlike traditional development workflows, ML workflows are difficult to run on a local machine (due to the lack of memory, more CPUs/GPUs, etc). Imagine, if you could run your ML workflows the very same way as you do it locally, but they would run in the cloud. And you wouldn’t need to worry about provisioning infrastructure, setting up the environment, etc. We are delighted to introduce dstack, an open-source tool that is designed to do exactly that.
Speaker
Andrey Cheptsov is the creator of dstack . He is passionate about open-source and developer tools for AI. Previously, Andrey worked at JetBrains with the PyCharm team.
