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ncclementi merged 5 commits into from
Jun 2, 2026
Merged

Add mamba instructions to Vertex AI page #696

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47c1529
change conf to PEP440 standards
jayavenkatesh19 Mar 31, 2026
8144a7f
Merge branch 'main' of github.com:jayavenkatesh19/deployment
jayavenkatesh19 Apr 9, 2026
d14c790
Merge branch 'main' of github.com:jayavenkatesh19/deployment
jayavenkatesh19 Jun 2, 2026
9e3b9a3
add new instructions to work with mamba
jayavenkatesh19 Jun 2, 2026
84fd901
Update source/cloud/gcp/vertex-ai.md
jayavenkatesh19 Jun 2, 2026
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11 changes: 10 additions & 1 deletion source/cloud/gcp/vertex-ai.md
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Expand Up @@ -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 \
Expand All @@ -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.

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)
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