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chore: Regenerate all playbooks

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GitLab CI 2025-10-18 21:48:15 +00:00
parent 505cacdbd6
commit 752eada0cb
2 changed files with 6 additions and 1 deletions
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5
nvidia/dgx-dashboard/README.md
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@ -126,6 +126,11 @@ Verify your setup by running a simple Stable Diffusion XL image generation examp
3. Add a new cell and paste the following code: 3. Add a new cell and paste the following code:
```python ```python
import warnings
warnings.filterwarnings('ignore', message='.*cuda capability.*')
import tqdm.auto
tqdm.auto.tqdm = tqdm.std.tqdm
from diffusers import DiffusionPipeline from diffusers import DiffusionPipeline
import torch import torch
from PIL import Image from PIL import Image

2
nvidia/trt-llm/README.md
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@ -414,7 +414,7 @@ docker rmi nvcr.io/nvidia/tensorrt-llm/release:spark-single-gpu-dev
### Step 1. Configure network connectivity ### Step 1. Configure network connectivity
Follow the network setup instructions from the [Connect two Sparks](https://build.nvidia.com/spark/stack-sparks/stacked-sparks) playbook to establish connectivity between your DGX Spark nodes. Follow the network setup instructions from the [Connect two Sparks](https://build.nvidia.com/spark/connect-two-sparks/stacked-sparks) playbook to establish connectivity between your DGX Spark nodes.
This includes: This includes:
- Physical QSFP cable connection - Physical QSFP cable connection