> For the complete documentation index, see [llms.txt](https://run-ai-docs.nvidia.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://run-ai-docs.nvidia.com/self-hosted/resources.md). # 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) - [NVIDIA Run:ai on NVIDIA NVL72](https://run-ai-docs.nvidia.com/self-hosted/resources/videos/nvidia-run-ai-on-nvidia-nvl72.md): Learn how NVIDIA Run:ai helps teams manage and optimize accelerated compute on NVIDIA NVL72 systems. - [Simplify AI Workload Submission with Workload Assets](https://run-ai-docs.nvidia.com/self-hosted/resources/videos/simplify-ai-workload-submission-with-workload-assets.md): Learn how reusable Workload Assets help AI practitioners submit NVIDIA Run:ai workloads faster with less manual setup. - [Create and Reuse Workload Templates](https://run-ai-docs.nvidia.com/self-hosted/resources/videos/create-and-reuse-workload-templates.md): Learn how Workload Templates help teams create and reuse approved NVIDIA Run:ai workload configurations. - [Monitor GPU Usage and Platform Health](https://run-ai-docs.nvidia.com/self-hosted/resources/videos/monitor-gpu-usage-and-platform-health.md): Learn how NVIDIA Run:ai monitoring and analytics help teams track GPU usage, platform health, and workload performance. - [Blogs](https://run-ai-docs.nvidia.com/self-hosted/resources/blogs.md): Explore the latest NVIDIA technical blogs featuring NVIDIA Run:ai, including technical deep dives, architecture insights, and perspectives on AI infrastructure. - [Numa-Aware Scheduling in NVIDIA Run:ai](https://run-ai-docs.nvidia.com/self-hosted/resources/blogs/numa-aware-scheduling-in-nvidia-run-ai.md): By: Hagay Sharon - [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 This documentation is published with GitBook. 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