> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/cudnn/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/cudnn/_mcp/server.

# Support

Support, resources, and information about cuDNN can be found online at [https://developer.nvidia.com/cudnn](https://developer.nvidia.com/cudnn). This includes downloads, webinars, [NVIDIA Developer Forums](https://forums.developer.nvidia.com/), and more.

We appreciate all types of feedback. Consider posting on the forums with questions, comments, feature requests, and suspected bugs that are appropriate to discuss publicly. cuDNN-related posts are reviewed by the cuDNN engineering team, and internally we will file bugs where appropriate. It's helpful if you can paste or attach an [Error Reporting And API Logging](https://docs.nvidia.com/deeplearning/cudnn/backend/latest/reference/troubleshooting.html#api-logging) to help us reproduce.

External users can also file bugs directly by following these steps:

1. Register for the [NVIDIA Developer website](https://developer.nvidia.com/).
2. Log in to the developer site.
3. Click on your name in the upper right corner.
4. Click **My account** > **My Bugs** and select **Submit a New Bug**.
5. Fill out the bug reporting page. Be descriptive and if possible, provide the steps that you are following to help reproduce the problem. If possible, paste or attach an [API log](https://docs.nvidia.com/deeplearning/cudnn/backend/latest/reference/troubleshooting.html#api-logging).
6. Click **Submit a bug**.