sarman/dgx-spark-playbooks
1
0
Fork 0
mirror of https://github.com/NVIDIA/dgx-spark-playbooks.git synced 2026-04-25 11:23:52 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

chore: Regenerate all playbooks

Browse Source
This commit is contained in:
GitLab CI 2025-10-05 19:27:32 +00:00
parent 584259b97d
commit b481d5200a
1 changed files with 3 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

9
nvidia/rag-ai-workbench/README.md
View File

@ -6,7 +6,6 @@
- [Overview](#overview) - [Overview](#overview)
- [Instructions](#instructions) - [Instructions](#instructions)
- [Troubleshooting installation issues](#troubleshooting-installation-issues)
- [Substep A: Upload sample dataset](#substep-a-upload-sample-dataset) - [Substep A: Upload sample dataset](#substep-a-upload-sample-dataset)
- [Substep B: Test custom dataset (optional)](#substep-b-test-custom-dataset-optional) - [Substep B: Test custom dataset (optional)](#substep-b-test-custom-dataset-optional)
@ -72,13 +71,11 @@ On your DGX Spark system, open the **NVIDIA AI Workbench** application and click
2. Wait for the automated install to complete (several minutes) 2. Wait for the automated install to complete (several minutes)
3. Click "Let's Get Started" when installation finishes 3. Click "Let's Get Started" when installation finishes
### Troubleshooting installation issues **Troubleshooting installation issues**
If you encounter an error message that says: If you encounter the following error message, reboot your DGX system and then reopen NVIDIA AI Workbench:
An error occurred ... container tool failed to reach ready state. try again: docker is not running "An error occurred ... container tool failed to reach ready state. try again: docker is not running"
Reboot your DGX Spark system to restart the docker service, then reopen NVIDIA AI Workbench.
## Step 2. Verify API key requirements ## Step 2. Verify API key requirements