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
suspend a pytorch training workload
runai pytorch suspend [WORKLOAD_NAME] [flags]
Examples
# Suspend a workloadrunai training pytorch suspend <pytorch-name># Suspend a workload in a specific projectrunai training pytorch suspend <pytorch-name> -p <project-name># Suspend a workload by UUIDrunai training pytorch suspend --uuid=<pytorch_uuid>
Options
-h, --help help for suspend-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.-u, --uuid string The unique identifier (UUID) of the resource, as returned by the API.
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 pytorch - alias for pytorch management