add link to troubleshooting page

Author: paigecalvert

docs/vendor/embedded-troubleshooting.mdx

@@ -59,7 +59,7 @@ When troubleshooting, it can be useful to list the cluster and view logs using t
 
 This section provides troubleshooting advice for common errors.
 
-### Installation failure when NVIDIA GPU Operator is included as Helm extension
+### Installation failure when NVIDIA GPU Operator is included as Helm extension {#nvidia}
 
 #### Symptom
 

docs/vendor/embedded-using.mdx

@@ -220,5 +220,7 @@ Using the NVIDIA GPU Operator with Embedded Cluster requires configuring the con
 When the containerd options are configured as shown above, the NVIDIA GPU Operator automatically creates the required configurations in the `/etc/k0s/containerd.d/nvidia.toml` file. It is not necessary to create this file manually, or modify any other configuration on the hosts.
 
 :::note
-If you include the NVIDIA GPU Operator as a Helm extension, remove any existing containerd services that are running on the host (such as those deployed by Docker) before attempting to install the release with Embedded Cluster. If there are any containerd services on the host, the NVIDIA GPU Operator will generate an invalid containerd config, causing the installation to fail.
+If you include the NVIDIA GPU Operator as a Helm extension, remove any existing containerd services that are running on the host (such as those deployed by Docker) before attempting to install the release with Embedded Cluster. If there are any containerd services on the host, the NVIDIA GPU Operator will generate an invalid containerd config, causing the installation to fail. For more information, see [Installation failure when NVIDIA GPU Operator is included as Helm extension](#nvidia) in _Troubleshooting Embedded Cluster_.
+
+This is the result of a known issue with v24.9.x of the NVIDIA GPU Operator. For more information about the known issue, see [container-toolkit does not modify the containerd config correctly when there are multiple instances of the containerd binary](https://github.com/NVIDIA/nvidia-container-toolkit/issues/982) in the nvidia-container-toolkit repository in GitHub.
 :::