From 390b8fc87ecf6a982674f9883b3fbe080c79abe2 Mon Sep 17 00:00:00 2001 From: GitLab CI Date: Thu, 5 Feb 2026 17:23:51 +0000 Subject: [PATCH] chore: Regenerate all playbooks --- nvidia/vllm/README.md | 7 ------- nvidia/vscode/README.md | 2 +- 2 files changed, 1 insertion(+), 8 deletions(-) diff --git a/nvidia/vllm/README.md b/nvidia/vllm/README.md index cfe3d6a..2b3ee6a 100644 --- a/nvidia/vllm/README.md +++ b/nvidia/vllm/README.md @@ -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 diff --git a/nvidia/vscode/README.md b/nvidia/vscode/README.md index 353eada..20b1289 100644 --- a/nvidia/vscode/README.md +++ b/nvidia/vscode/README.md @@ -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