> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/run-ai/_mcp/server.

# Resources

## Docs

- [Overview](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/overview.md)
- [Videos](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/videos.md)
- [Platform Overview](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/videos/platform-overview.md)
- [How to Run a Jupyter Notebook Using Workspaces](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/videos/how-to-run-a-jupyter-notebook-using-workspaces.md)
- [How to Run a Standard Training Job](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/videos/how-to-run-a-standard-training-job.md)
- [How to Run a Nemo Training Job](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/videos/how-to-run-a-nemo-training-job.md)
- [How to Deploy NVIDIA NIM Inference](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/videos/how-to-deploy-nvidia-nim-inference.md)
- [How to Deploy Dynamo Inference Pipelines](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/videos/how-to-deploy-dynamo-inference-pipelines.md)
- [How to Allocate GPU Resources Across Teams](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/videos/how-to-allocate-gpu-resources-across-teams.md)
- [How to Run a Custom Inference Workload](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/videos/how-to-run-a-custom-inference-workload.md)
- [Topology-Aware GPU Scheduling](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/videos/topology-aware-gpu-scheduling.md)
- [Deploy and Manage NVIDIA RAG Blueprint](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/videos/deploy-and-manage-nvidia-rag-blueprint.md)
- [How to Create an AI Application](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/videos/how-to-create-an-ai-application.md)
- [Over-Quota GPU Usage with Fairness and Preemption](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/videos/over-quota-gpu-usage-with-fairness-and-preemption.md)
- [How to Run a Distributed Training Job](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/videos/how-to-run-a-distributed-training-job.md)
- [NVIDIA Run:ai on NVIDIA NVL72](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/videos/nvidia-run-ai-on-nvidia-nvl-72.md)
- [Simplify AI Workload Submission with Workload Assets](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/videos/simplify-ai-workload-submission-with-workload-assets.md)
- [Create and Reuse Workload Templates](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/videos/create-and-reuse-workload-templates.md)
- [Monitor GPU Usage and Platform Health](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/videos/monitor-gpu-usage-and-platform-health.md)
- [Blogs](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/blogs.md)
- [NVIDIA On-Demand Sessions](https://docs.nvidia.com/run-ai/self-hosted/v3.0/documentation/resources/nvidia-on-demand-sessions.md)