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2 changes: 1 addition & 1 deletion docs/clusters/aws/install.md
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## Prerequisites

1. [Docker](https://docs.docker.com/install)
1. [Docker](https://docs.docker.com/install) must be installed and running on your machine (to verify, check that running `docker ps` does not return an error)
1. Subscribe to the [EKS-optimized AMI with GPU Support](https://aws.amazon.com/marketplace/pp/B07GRHFXGM) (for GPU clusters)
1. An IAM user with `AdministratorAccess` and programmatic access (see [security](security.md) if you'd like to use less privileged credentials after spinning up your cluster)
1. You may need to [request a limit increase](https://console.aws.amazon.com/servicequotas/home?#!/services/ec2/quotas) for your desired instance type
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9 changes: 6 additions & 3 deletions docs/clusters/gcp/install.md
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@@ -1,10 +1,13 @@
# Install

## Spin up Cortex on your GCP account
## Prerequisites

Make sure [Docker](https://docs.docker.com/install) is running on your machine.
1. [Docker](https://docs.docker.com/install) must be installed and running on your machine (to verify, check that running `docker ps` does not return an error)
1. You may need to [request a quota increase](https://cloud.google.com/compute/quotas) for your desired instance type and/or GPU type
1. Export the `GOOGLE_APPLICATION_CREDENTIALS` environment variable, containing the path to your GCP credentials file (e.g. `export GOOGLE_APPLICATION_CREDENTIALS=~/.config/gcloud/myproject-8a41417a968a.json`)
1. If you haven't done so already, enable the Kubernetes Engine API in your GCP project ([here](https://console.developers.google.com/apis/api/container.googleapis.com/overview))

If you're using GPUs, make sure your GPU quota is sufficient (see [here](https://cloud.google.com/compute/quotas)).
## Spin up Cortex on your GCP account

```bash
# install the CLI
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