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
Delete workloads
runai workload delete [flags]
Examples
# Delete multiple workloadsrunai workload delete -p proj1 workload01 workload02 workload03# Delete list of workloads with PyTorch framework filterrunai workload delete -p proj1 --framework pytorch workload01 workload02 workload03# Delete list of workloads with training type filterrunai workload delete -p proj1 --type training workload01 workload02 workload03# Delete multiple workloads by bypassing confirmationrunai 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 - workload management