From 47c1529f630c193053d9a5043cc456b8040a9e84 Mon Sep 17 00:00:00 2001 From: Jaya Venkatesh Date: Tue, 31 Mar 2026 12:58:38 -0700 Subject: [PATCH 1/3] change conf to PEP440 standards Signed-off-by: Jaya Venkatesh --- source/conf.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/source/conf.py b/source/conf.py index 3064871f..11da287e 100644 --- a/source/conf.py +++ b/source/conf.py @@ -49,7 +49,7 @@ "rapids_conda_channels": "-c rapidsai-nightly -c conda-forge", "rapids_conda_packages": f"rapids={nightly_version} python=3.13 'cuda-version>=12.0,<=12.9'", "rapids_pip_index": "https://pypi.anaconda.org/rapidsai-wheels-nightly/simple", - "rapids_pip_version": f"{nightly_version}.*,>=0.0.0a0", + "rapids_pip_version": f"~={nightly_version}.0a0", # SageMaker Notebook Instance examples need to stay pinned to an older RAPIDS until this is resolved: # https://github.com/rapidsai/deployment/issues/520 "rapids_sagemaker_conda_packages": f"rapids={nightly_version} python=3.12 cuda-version=13", From 9e3b9a3d3ee3b67556a56e31337dc6bb94520655 Mon Sep 17 00:00:00 2001 From: Jaya Venkatesh Date: Tue, 2 Jun 2026 12:43:46 -0700 Subject: [PATCH 2/3] add new instructions to work with mamba Signed-off-by: Jaya Venkatesh --- source/cloud/gcp/vertex-ai.md | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/source/cloud/gcp/vertex-ai.md b/source/cloud/gcp/vertex-ai.md index c29ce9a9..94a8e876 100644 --- a/source/cloud/gcp/vertex-ai.md +++ b/source/cloud/gcp/vertex-ai.md @@ -33,6 +33,13 @@ You can find out your current system CUDA Toolkit version by running `ls -ld /us You can create a new RAPIDS conda environment and register it with `ipykernel` for use in Jupyter Lab. Open a new terminal in Jupyter and run the following commands. +```bash +# Use a user-writable location for environments and package caches +$ export MAMBA_ROOT_PREFIX="${HOME}/micromamba" +``` + +Setting `MAMBA_ROOT_PREFIX` keeps environments and package caches in a user-writable location. + ```bash # Create a new environment $ conda create -y -n rapids \ @@ -48,9 +55,11 @@ $ conda activate rapids ```bash # Register the environment with Jupyter -$ python -m ipykernel install --prefix "${DL_ANACONDA_HOME}/envs/rapids" --name rapids --display-name rapids +$ python -m ipykernel install --user --name rapids --display-name "rapids" ``` +Registering the kernel with `--user` installs the kernelspec in the Jupyter user's kernel directory, avoiding permissions errors from writing into the environment prefix. w + Then refresh the Jupyter Lab page and open the launcher. You will see a new "rapids" kernel available. ![Screenshot of the Jupyter Lab launcher showing the RAPIDS kernel](../../images/vertex-ai-launcher.png) From 84fd90139f928d91abd78a2d65d83e5a18b17512 Mon Sep 17 00:00:00 2001 From: Jaya Venkatesh Date: Tue, 2 Jun 2026 12:56:26 -0700 Subject: [PATCH 3/3] Update source/cloud/gcp/vertex-ai.md Co-authored-by: Naty Clementi --- source/cloud/gcp/vertex-ai.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/source/cloud/gcp/vertex-ai.md b/source/cloud/gcp/vertex-ai.md index 94a8e876..4382905a 100644 --- a/source/cloud/gcp/vertex-ai.md +++ b/source/cloud/gcp/vertex-ai.md @@ -58,7 +58,7 @@ $ conda activate rapids $ python -m ipykernel install --user --name rapids --display-name "rapids" ``` -Registering the kernel with `--user` installs the kernelspec in the Jupyter user's kernel directory, avoiding permissions errors from writing into the environment prefix. w +Registering the kernel with `--user` installs the kernelspec in the Jupyter user's kernel directory, avoiding permissions errors from writing into the environment prefix. Then refresh the Jupyter Lab page and open the launcher. You will see a new "rapids" kernel available.