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chore: Regenerate all playbooks

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nvidia/nemoclaw/README.md
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@ -172,12 +172,15 @@ Verify the NVIDIA runtime works:
docker run --rm --runtime=nvidia --gpus all ubuntu nvidia-smi docker run --rm --runtime=nvidia --gpus all ubuntu nvidia-smi
``` ```
If you get a permission denied error on `docker`, add your user to the Docker group and log out/in: If you get a permission denied error on `docker`, add your user to the Docker group and activate the new group in your current session:
```bash ```bash
sudo usermod -aG docker $USER sudo usermod -aG docker $USER
newgrp docker
``` ```
This applies the group change immediately. Alternatively, you can log out and back in instead of running `newgrp docker`.
> [!NOTE] > [!NOTE]
> DGX Spark uses cgroup v2. OpenShell's gateway embeds k3s inside Docker and needs host cgroup namespace access. Without `default-cgroupns-mode: host`, the gateway can fail with "Failed to start ContainerManager" errors. > DGX Spark uses cgroup v2. OpenShell's gateway embeds k3s inside Docker and needs host cgroup namespace access. Without `default-cgroupns-mode: host`, the gateway can fail with "Failed to start ContainerManager" errors.
@ -322,13 +325,21 @@ http://127.0.0.1:18789/#token=<long-token-here>
**If accessing the Web UI from a remote machine**, you need to set up port forwarding. **If accessing the Web UI from a remote machine**, you need to set up port forwarding.
First, find your Spark's IP address. On the Spark, run:
```bash
hostname -I | awk '{print $1}'
```
This prints the primary IP address (e.g. `192.168.1.42`). You can also find it in **Settings > Wi-Fi** or **Settings > Network** on the Spark's desktop, or check your router's connected-devices list.
Start the port forward on the Spark host: Start the port forward on the Spark host:
```bash ```bash
openshell forward start 18789 my-assistant --background openshell forward start 18789 my-assistant --background
``` ```
Then from your remote machine, create an SSH tunnel to the Spark: Then from your remote machine, create an SSH tunnel to the Spark (replace `<your-spark-ip>` with the IP address from above):
```bash ```bash
ssh -L 18789:127.0.0.1:18789 <your-user>@<your-spark-ip> ssh -L 18789:127.0.0.1:18789 <your-user>@<your-spark-ip>