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chore: Regenerate all playbooks

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7
nvidia/vllm/README.md
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@ -164,13 +164,6 @@ docker rm $(docker ps -aq --filter ancestor=nvcr.io/nvidia/vllm:${LATEST_VLLM_VE
docker rmi nvcr.io/nvidia/vllm
```
To remove CUDA 12.9:
```bash
sudo /usr/local/cuda-12.9/bin/cuda-uninstaller
```
## Step 5. Next steps
- **Production deployment:** Configure vLLM with your specific model requirements

2
nvidia/vscode/README.md
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@ -174,7 +174,7 @@ rm -rf ~/.vscode
## Step 1. Install and configure NVIDIA Sync
Follow the [NVIDIA Sync setup guide](/spark/connect-to-your-spark/sync) to:
Follow the [NVIDIA Sync setup guide](https://build.nvidia.com/spark/connect-to-your-spark/sync) to:
- Install NVIDIA Sync for your operating system
- Configure which development tools you want to use (VS Code, Cursor, Terminal, etc.)
- Add your DGX Spark device by providing its hostname/IP and credentials