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updated UTM in link
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ChristophSchranz authored Dec 16, 2023
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Expand Up @@ -33,7 +33,7 @@ for creating and maintaining a robust Python, R, and Julia toolstack for Data Sc

## Quickstart

1. Ensure that you have access to a computer with an NVIDIA GPU. If you don’t have your own setup, you can try [Saturn Cloud](https://saturncloud.io/?utm_source=Medium+&utm_medium=TDS&utm_campaign=ChristophSchranz&utm_term=GPUJupyter) for a free GPU-powered Jupyter solution.
1. Ensure that you have access to a computer with an NVIDIA GPU. If you don’t have your own setup, you can try [Saturn Cloud](https://saturncloud.io/?utm_source=Github+&utm_Github=TDS&utm_campaign=ChristophSchranz&utm_term=GPUJupyter) for a free GPU-powered Jupyter solution.
2. Install [Docker](https://www.docker.com/community-edition#/download) version **1.10.0+**
and [Docker Compose](https://docs.docker.com/compose/install/) version **1.28.0+**.
3. Get access to your GPU via CUDA drivers within Docker containers. For this, follow the installation steps in this
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