Five-module coverage spans the full ML lifecycle instead of experiment tracking
Near decade of operating history and enterprise customers (NVIDIA, Samsung, Bosch) back its stability
Cons
Usage-based compute pricing requires monitoring at high-traffic production volumes
Best suited for teams already running custom or fine-tuned models, not off-the-shelf API use
Competes with both hyperscaler managed-inference options and other MLOps platforms
Five-module breadth means a learning curve to use the platform to its full extent
Self-hosting the open-source version requires infrastructure and DevOps effort a hosted competitor wouldn't
Enterprise and Scale tier pricing isn't published, requiring a sales conversation
Company
Baseten, founded 2019
ClearML, founded 2016
Prices come from each vendor's pricing page, last checked 20260810. Check the vendor before you buy.
FAQ
Questions people ask
Is Baseten better than Clear.ml?
In our reviews Baseten scores 4.1 and Clear.ml scores 4.3. The better pick depends on the job. Baseten: Model deployment infrastructure that lets teams ship custom AI models to production without managing GPUs. Clear.ml: Open-source MLOps platform tracking experiments, managing data, and orchestrating pipelines across the ML lifecycle.