Merge 48fc5eb30e into 3ba4d58f1e

nvidia/openshell/README.md

@@ -214,34 +214,22 @@ Verify Ollama is running (it auto-starts as a service after installation). If no
 ollama serve &
 ```
 
-Configure Ollama to listen on all interfaces so the OpenShell gateway container can reach it. Create a systemd override:
-
-```bash
-mkdir -p /etc/systemd/system/ollama.service.d/
-sudo nano /etc/systemd/system/ollama.service.d/override.conf
-```
-
-Add these lines to the file (create the file if it does not exist):
-
-```ini
-[Service]
-Environment="OLLAMA_HOST=0.0.0.0"
-```
-
-Save and exit, then reload and restart Ollama:
+Configure Ollama to listen on all interfaces so the OpenShell gateway container can reach it:
 
 ```bash
+sudo mkdir -p /etc/systemd/system/ollama.service.d
+printf '[Service]\nEnvironment="OLLAMA_HOST=0.0.0.0"\n' | sudo tee /etc/systemd/system/ollama.service.d/override.conf
 sudo systemctl daemon-reload
 sudo systemctl restart ollama
 ```
 
-Verify Ollama is listening on all interfaces:
+Verify Ollama is running and reachable on all interfaces:
 
 ```bash
-ss -tlnp | grep 11434
+curl http://0.0.0.0:11434
 ```
 
-You should see `*:11434` in the output. If it only shows `127.0.0.1:11434`, confirm the override file contents and that you ran `systemctl daemon-reload` before restarting.
+Expected: `Ollama is running`. If not, start it with `sudo systemctl start ollama`.
 
 Next, run a model from Ollama (adjust the model name to match your choice from [the Ollama model library](https://ollama.com/library)). The `ollama run` command will pull the model automatically if it is not already present. Running the model here ensures it is loaded and ready when you use it with OpenClaw, reducing the chance of timeouts later. Example for nemotron-3-super:
 

nvidia/vibe-coding/README.md

@@ -171,10 +171,12 @@ Add additional model entries for any other Ollama models you wish to host remote
 
 | Symptom | Cause | Fix |
 |---------|-------|-----|
-|Ollama not starting|GPU drivers may not be installed correctly|Run `nvidia-smi` in the terminal. If the command fails check DGX Dashboard for updates to your DGX Spark.|
-|Continue can't connect over the network|Port 11434 may not be open or accessible|Run command `ss -tuln \| grep 11434`. If the output does not reflect ` tcp   LISTEN 0      4096               *:11434            *:*  `, go back to step 2 and run the ufw command.|
-|Continue can't detect a locally running Ollama model|Configuration not properly set or detected|Check `OLLAMA_HOST` and `OLLAMA_ORIGINS` in `/etc/systemd/system/ollama.service.d/override.conf` file. If `OLLAMA_HOST` and `OLLAMA_ORIGINS` are set correctly, add these lines to your `~/.bashrc` file.|
-|High memory usage|Model size too big|Confirm no other large models or containers are running with `nvidia-smi`. Use smaller models such as `gpt-oss:20b` for lightweight usage.|
+| **WiFi connection drops or becomes unreachable** (especially in headless mode) | Aggressive WiFi power-saving settings in NetworkManager | Edit `/etc/NetworkManager/conf.d/default-wifi-powersave-on.conf`, set `wifi.powersave = 2`, and run `sudo systemctl restart NetworkManager`. |
+| **Random reboots and "00" error code on the display** | Watchdog timer module (`sbsa_gwdt`) not loaded | Add `sbsa_gwdt` to `/etc/modules-load.d/watchdog.conf` and reboot to ensure the hardware watchdog is correctly managed by the kernel. |
+| Ollama not starting | GPU drivers may not be installed correctly | Run `nvidia-smi` in the terminal. If the command fails check DGX Dashboard for updates to your DGX Spark. |
+| Continue can't connect over the network | Port 11434 may not be open or accessible | Run command `ss -tuln \| grep 11434`. If the output does not reflect `tcp LISTEN 0 4096 *:11434 *:*`, go back to step 2 and run the ufw command. |
+| Continue can't detect a locally running Ollama model | Configuration not properly set or detected | Check `OLLAMA_HOST` and `OLLAMA_ORIGINS` in `/etc/systemd/system/ollama.service.d/override.conf` file. If `OLLAMA_HOST` and `OLLAMA_ORIGINS` are set correctly, add these lines to your `~/.bashrc` file. |
+| High memory usage | Model size too big | Confirm no other large models or containers are running with `nvidia-smi`. Use smaller models such as `gpt-oss:20b` for lightweight usage. |
 
 > [!NOTE]
 > DGX Spark uses a Unified Memory Architecture (UMA), which enables dynamic memory sharing between the GPU and CPU.