> 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.

# Workload Properties

Workload properties define the behavioral and scheduling characteristics of a workload submitted to the NVIDIA Run:ai platform. These properties such as type, category, and priority determine how workloads are classified, monitored, and scheduled.
- Type - Defines the functional behavior of a workload, such as training or inference, and serves as the foundation for how it is classified within the platform. Each workload type includes a default category (used for monitoring) and a default priority (used for scheduling within a project).
- Category - Represents the role or purpose of a workload, such as  Build, Train, Deploy. Each workload type is assigned a default category to ensure consistent classification across the platform for monitoring purposes. See [Monitor workloads by category](/run-ai/self-hosted/documentation/platform-management/monitor-performance/workload-categories).
- Priority - Determines the scheduling order of workloads within a project and whether a workload can be preempted. Higher-priority workloads are scheduled first and may become non-preemptible, preventing interruption by lower-priority workloads. See [Workload priority control](/run-ai/self-hosted/documentation/platform-management/runai-scheduler/scheduling/workload-priority-control).