From c6467ceb5d6b3a3eb6ce42f29a79a528b641c513 Mon Sep 17 00:00:00 2001 From: GitLab CI Date: Tue, 20 Jan 2026 21:28:03 +0000 Subject: [PATCH] chore: Regenerate all playbooks --- nvidia/cuda-x-data-science/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nvidia/cuda-x-data-science/README.md b/nvidia/cuda-x-data-science/README.md index 15f42cd..1e92178 100644 --- a/nvidia/cuda-x-data-science/README.md +++ b/nvidia/cuda-x-data-science/README.md @@ -47,7 +47,7 @@ You will accelerate popular machine learning algorithms and data analytics opera ## Step 2. Installing Data Science libraries Use the following command to install the CUDA-X libraries (this will create a new conda environment) ```bash - conda create -n rapids-test -c rapidsai-nightly -c conda-forge -c nvidia \ + conda create -n rapids-test -c rapidsai -c conda-forge -c nvidia \ rapids=25.10 python=3.12 'cuda-version=13.0' \ jupyter hdbscan umap-learn ```