> This page is for Self-Hosted, version v3.0 (default).
> For other versions, use one of these documentation indexes:
> - v3.0 (default): https://docs.nvidia.com/run-ai/self-hosted/v3.0/llms.txt
> - v2.26: https://docs.nvidia.com/run-ai/self-hosted/v2.26/llms.txt
> - v2.25: https://docs.nvidia.com/run-ai/self-hosted/v2.25/llms.txt
> - v2.24: https://docs.nvidia.com/run-ai/self-hosted/v2.24/llms.txt

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

# Workloads V2

The Workloads V2 API allows you to create, retrieve, and delete workloads that originate from third-party ML frameworks, tools, or the broader Kubernetes ecosystem. These workloads are registered in the platform through the Workload Types API, some are already registered in NVIDIA Run:ai, while others can be added by administrators.
Each submission combines the user's Kubernetes manifest with NVIDIA Run:ai scheduling metadata, enabling consistent orchestration, monitoring, and governance. See [Extending workload support](/run-ai/self-hosted/documentation/workloads-in-nvidia-run-ai/workload-types/extending-workload-support) for more details.