> 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/2.23/reference/cli/runai/runai_workload_delete.md).

# runai workload delete

Delete workloads

```
runai workload delete [flags]
```

## Examples

```
# Delete multiple workloads
runai workload delete -p proj1 workload01 workload02 workload03

# Delete list of workloads with PyTorch framework filter
runai workload delete -p proj1 --framework pytorch workload01 workload02 workload03

# Delete list of workloads with training type filter
runai workload delete -p proj1 --type training workload01 workload02 workload03

# Delete multiple workloads by bypassing confirmation
runai workload delete -p proj1 -y workload01 workload02 workload03
```

## Options

```
      --framework string   Filter by workload framework (TensorFlow, PyTorch, MPI, XGBoost, JAX).
  -h, --help               help for delete
  -p, --project string     Specify the project for the command to use. Defaults to the project set in the context, if any. Use 'runai project set <project>' to set the default.
      --type string        Filter by workload type. Valid values: training, workspace, inference.
  -y, --yes                bypass confirmation dialog by answering yes
```

## Options inherited from parent commands

```
      --config-file string   config file name; can be set by environment variable RUNAI_CLI_CONFIG_FILE (default "config.json")
      --config-path string   config path; can be set by environment variable RUNAI_CLI_CONFIG_PATH
  -d, --debug                enable debug mode
  -q, --quiet                enable quiet mode, suppress all output except error messages
      --verbose              enable verbose mode
```

## SEE ALSO

* [runai workload](/self-hosted/2.23/reference/cli/runai/runai_workload.md) - workload management


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