# runai training

training management

## Options

```
  -h, --help   help for training
```

## 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](https://run-ai-docs.nvidia.com/self-hosted/2.22/reference/cli/runai) - Run:ai Command-line Interface
* [runai training attach](https://run-ai-docs.nvidia.com/self-hosted/2.22/reference/cli/runai/runai_training_attach) - attach to a running container in a standard training workload
* [runai training bash](https://run-ai-docs.nvidia.com/self-hosted/2.22/reference/cli/runai/runai_training_bash) - open a bash shell in a standard training workload
* [runai training delete](https://run-ai-docs.nvidia.com/self-hosted/2.22/reference/cli/runai/runai_training_delete) - delete a standard training workload
* [runai training describe](https://run-ai-docs.nvidia.com/self-hosted/2.22/reference/cli/runai/runai_training_describe) - describe a standard training workload
* [runai training exec](https://run-ai-docs.nvidia.com/self-hosted/2.22/reference/cli/runai/runai_training_exec) - execute a command in a standard training workload
* [runai training jax](https://run-ai-docs.nvidia.com/self-hosted/2.22/reference/cli/runai/runai_training_jax) - jax management
* [runai training list](https://run-ai-docs.nvidia.com/self-hosted/2.22/reference/cli/runai/runai_training_list) - list all training frameworks
* [runai training logs](https://run-ai-docs.nvidia.com/self-hosted/2.22/reference/cli/runai/runai_training_logs) - view logs of a standard training workload
* [runai training mpi](https://run-ai-docs.nvidia.com/self-hosted/2.22/reference/cli/runai/runai_training_mpi) - mpi management
* [runai training port-forward](https://run-ai-docs.nvidia.com/self-hosted/2.22/reference/cli/runai/runai_training_port-forward) - forward one or more local ports to a standard training workload
* [runai training pytorch](https://run-ai-docs.nvidia.com/self-hosted/2.22/reference/cli/runai/runai_training_pytorch) - pytorch management
* [runai training resume](https://run-ai-docs.nvidia.com/self-hosted/2.22/reference/cli/runai/runai_training_resume) - resume standard training
* [runai training standard](https://run-ai-docs.nvidia.com/self-hosted/2.22/reference/cli/runai/runai_training_standard) - standard training management
* [runai training submit](https://run-ai-docs.nvidia.com/self-hosted/2.22/reference/cli/runai/runai_training_submit) - submit a standard training workload
* [runai training suspend](https://run-ai-docs.nvidia.com/self-hosted/2.22/reference/cli/runai/runai_training_suspend) - suspend a standard training workload
* [runai training tensorflow](https://run-ai-docs.nvidia.com/self-hosted/2.22/reference/cli/runai/runai_training_tensorflow) - tensorflow management
* [runai training xgboost](https://run-ai-docs.nvidia.com/self-hosted/2.22/reference/cli/runai/runai_training_xgboost) - xgboost management