| # Installation | |
| The rough idea behind the cloud integration is to package our code into a docker container and use AWS Batch to | |
| run thousands of experiments concurrently. | |
| ## Prerequisites | |
| * Terraform (see installation tutorial [here](https://learn.hashicorp.com/tutorials/terraform/install-cli)) | |
| We use Terraform to define our infrastructure with AWS Batch, which you can spin up as follows | |
| ```bash | |
| # assuming you are at the root of the CleanRL project | |
| uv pip install ".[cloud]" | |
| cd cloud | |
| python -m awscli configure | |
| terraform init | |
| export AWS_DEFAULT_REGION=$(aws configure get region --profile default) | |
| terraform apply | |
| ``` | |
| <script id="asciicast-445048" src="https://asciinema.org/a/445048.js" async></script> | |
| !!! note | |
| Don't worry about the cost of spinning up these AWS Batch compute environments and job queues. They are completely free and you are only charged when you submit experiments. | |
| Then your AWS Batch console should look like | |
|  | |
| ### Clean Up | |
| Uninstalling/Deleting the infrastructure is pretty straightforward: | |
| ``` | |
| export AWS_DEFAULT_REGION=$(aws configure get region --profile default) | |
| terraform destroy | |
| ``` | |