From d50f48460823d03a1eea4b4dbe514663ad31a48a Mon Sep 17 00:00:00 2001 From: Chris Date: Sat, 16 Dec 2023 22:33:19 +0100 Subject: [PATCH] updated UTM in link --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index ad4a5ea..057387c 100644 --- a/README.md +++ b/README.md @@ -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