Are your Python data science workloads too slow?

Get a fully managed service utilizing Dask

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Saturn Cloud enables data scientists to work at scale using the tools they know best: Python, Jupyter, and Dask

Scale Python Using Dask

Data scientists can jump into hosted Notebooks and write Python as they normally would, then scale up to Dask clusters with just 1-click.

Share Custom Environments

Saturn users can customize and share docker images by providing environment.yml, requirements.txt, or a bash script without knowing docker.

Deploy into Production

Once something is working, Saturn turns it into a kubernetes production deployment. These can be dashboards, machine learning models, or scheduled workflows with Prefect. 

Reproducible Data Science

All of this runs with the same environment, eliminating the “well it works on my computer” problem.

From a Single Platform, Data Scientists Can Leverage:

Saturn Cloud deploys in your cloud so there’s no need to migrate your data. Use the whole Python ecosystem via Jupyter.
Easily build environments and import packages (Pandas, NumPy, SciPy, etc)
Publish notebooks and easily collaborate on cloud-hosted Jupyter

Parallel Computing

Scalable Dask from laptop to server to cluster

Workflow With Prefect

Schedule and monitor workflows that execute in parallel across your cluster with Prefect

Supported Libraries

Pricing Information

The pricing below is for Saturn Cloud software only. It does not include the pricing for any required AWS resources.
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CPU Instances


/ GB / Hr

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T4 GPU Instances


/ GB / Hr

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V100 GPU Instances


/ GB / Hr

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