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.
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