An open-source tool to simplify the MLOps stack
The existing MLOps tools are ridiculously complex. dstack offers agile teams a much simpler open-source alternative.
The existing MLOps tools either require extra engineering or push to use an overly-complicated interface to train and deploy models.
AWS SageMaker, Google Vertex AI, Azure Machine Learning, KubeFlow, and AirFlow.
dstack is a lightweight utility (like Docker or Terraform) that runs ML workflows on any cloud while keeping workflows highly reproducible.
dstack integrates Git (for better versioning), and can be used from IDEs through a lightweight command-line utility.
Small and mid-size agile tech teams that train and deploy models on a regular basis.
Once a team adopts dstack, it needs collaboration, security, and governance, that will be offered by the managed version of dstack.
We're looking for 1M EUR to accelerate the development of the core product, and grow the community.
Technical content, developer meetups, and developer conferences.
