NNI supports running an experiment on [OpenPAI](https://github.com/Microsoft/pai)(aka pai), called pai mode. Before starting to use NNI pai mode, you should have an account to access an [OpenPAI](https://github.com/Microsoft/pai) cluster. See [here](https://github.com/Microsoft/pai#how-to-deploy) if you don't have any OpenPAI account and want to deploy an OpenPAI cluster. In pai mode, your trial program will run in pai's container created by Docker.
## Setup environment
Install NNI, follow the install guide [here](../Tutorial/QuickStart.md).
Step 1. Install NNI, follow the install guide [here](../Tutorial/QuickStart.md).
Step 2. Get PAI token.
Click `My profile` button in the top-right side of PAI's webprotal.
Find the token management region, copy one of the token as your account token.
Step 3. Mount NFS storage to local machine.
Click `Submit job` button in PAI's webportal.
Find the data management region in job submission page.
The `DEFAULT_STORAGE`field is the path to be mounted in PAI's container when a job is started. The `Preview container paths` is the NFS host and path that PAI provided, you need to mount the corresponding host and path to your local machine first, then NNI could use the PAI's NFS storage.
For example, use the following command:
```
sudo mount nfs://gcr-openpai-infra02:/pai/data /local/mnt
```
Then the `/data` folder in container will be mounted to `/local/mnt` folder in your local machine.
You could use the following configuration in your NNI's config file:
```
nniManagerNFSMountPath: /local/mnt
containerNFSMountPath: /data
```
Step 4. Get PAI's storage plugin name.
Contact PAI's admin, and get the PAI's storage plugin name for NFS storage. The default storage name is `teamwise_storage`, the configuration in NNI's config file is in following value:
```
paiStoragePlugin: teamwise_storage
```
## Run an experiment
Use `examples/trials/mnist-annotation` as an example. The NNI config YAML file's content is like:
