# Resources - [Overview](https://run-ai-docs.nvidia.com/self-hosted/resources/overview.md) - [Videos](https://run-ai-docs.nvidia.com/self-hosted/resources/videos.md): Explore NVIDIA Run:ai product videos, demos, and walkthroughs covering key platform workflows and capabilities. - [Platform Overview](https://run-ai-docs.nvidia.com/self-hosted/resources/videos/platform-overview.md) - [How to Run a Jupyter Notebook Using Workspaces](https://run-ai-docs.nvidia.com/self-hosted/resources/videos/how-to-run-a-jupyter-notebook-using-workspaces.md) - [How to Run a Standard Training Job](https://run-ai-docs.nvidia.com/self-hosted/resources/videos/how-to-run-a-standard-training-job.md) - [How to Run a Nemo Training Job](https://run-ai-docs.nvidia.com/self-hosted/resources/videos/how-to-run-a-nemo-training-job.md) - [How to Deploy NVIDIA NIM Inference](https://run-ai-docs.nvidia.com/self-hosted/resources/videos/how-to-deploy-nvidia-nim-inference.md) - [How to Deploy Dynamo Inference Pipelines](https://run-ai-docs.nvidia.com/self-hosted/resources/videos/how-to-deploy-dynamo-inference-pipelines.md) - [How to Run a Custom Inference Workload](https://run-ai-docs.nvidia.com/self-hosted/resources/videos/how-to-run-a-custom-inference-workload.md) - [How to Allocate GPU Resources Across Teams](https://run-ai-docs.nvidia.com/self-hosted/resources/videos/how-to-allocate-gpu-resources-across-teams.md) - [Topology-Aware GPU Scheduling](https://run-ai-docs.nvidia.com/self-hosted/resources/videos/topology-aware-gpu-scheduling.md) - [Deploy and Manage NVIDIA RAG Blueprint](https://run-ai-docs.nvidia.com/self-hosted/resources/videos/deploy-and-manage-nvidia-rag-blueprint.md) - [How to Create an AI Application](https://run-ai-docs.nvidia.com/self-hosted/resources/videos/how-to-create-an-ai-application.md) - [Over-Quota GPU Usage with Fairness and Preemption](https://run-ai-docs.nvidia.com/self-hosted/resources/videos/over-quota-gpu-usage-with-fairness-and-preemption.md) - [How to Run a Distributed Training Job](https://run-ai-docs.nvidia.com/self-hosted/resources/videos/how-to-run-a-distributed-training-job.md) - [Blogs](https://run-ai-docs.nvidia.com/self-hosted/resources/blogs.md): Explore the latest articles and blogs featuring NVIDIA Run:ai, including technical deep dives, architecture insights, and perspectives on AI infrastructure. - [NVIDIA Run:ai Agent Simplifies GPU Provisioning, Job Management, and Troubleshooting](https://run-ai-docs.nvidia.com/self-hosted/resources/blogs/nvidia-run-ai-agent-simplifies-gpu-provisioning-job-management-and-troubleshooting.md): By: Brad Soper and Vivek Kolasani - [NVIDIA On-Demand Sessions](https://run-ai-docs.nvidia.com/self-hosted/resources/nvidia-on-demand-sessions.md): Explore selected NVIDIA On-Demand sessions, including past GTC sessions, webinars, DLI sessions, and technical talks related to NVIDIA Run:ai --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://run-ai-docs.nvidia.com/self-hosted/resources.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.