diff --git a/source/examples/rapids-1brc-single-node/notebook.ipynb b/source/examples/rapids-1brc-single-node/notebook.ipynb
index aee011e5..1640eee4 100755
--- a/source/examples/rapids-1brc-single-node/notebook.ipynb
+++ b/source/examples/rapids-1brc-single-node/notebook.ipynb
@@ -93,7 +93,7 @@
     "- Use a managed notebook service like [SageMaker](/cloud/aws/sagemaker/), [Vertex AI](/cloud/gcp/vertex-ai/), [Azure ML](/cloud/azure/azureml/) or [Databricks](/platforms/databricks/).\n",
     "- Run a container in a [Kubernetes cluster with GPUs](/platforms/kubernetes/).\n",
     "\n",
-    "Once you have a GPU machine you will need to [install RAPIDS](/local/). You can do this with [pip](https://docs.rapids.ai/install#pip), [conda](https://docs.rapids.ai/install#conda) or [docker](https://docs.rapids.ai/install#docker).\n",
+    "Once you have a GPU machine you will need to [install RAPIDS](https://docs.rapids.ai/install/). You can do this with [pip](https://docs.rapids.ai/install#pip), [conda](https://docs.rapids.ai/install#conda) or [docker](https://docs.rapids.ai/install#docker).\n",
     "\n",
     "We are also going to use Jupyter Lab with the RAPIDS [nvdashboard extension](https://github.com/rapidsai/jupyterlab-nvdashboard) and the [Dask Lab Extension](https://github.com/dask/dask-labextension) so that we can understand what our machine is doing. If you are using the Docker container these will already be installed for you, otherwise you will need to install them yourself."
    ]
@@ -499,9 +499,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "rapids",
    "language": "python",
-   "name": "python3"
+   "name": "rapids"
   },
   "language_info": {
    "codemirror_mode": {
@@ -513,7 +513,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.12.8"
   }
  },
  "nbformat": 4,