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+# TPU User Guide
+
+This page contains instructions for how to set up Ray on GKE with TPUs. 
+
+For general setup instructions please refer to the [README](https://github.com/GoogleCloudPlatform/ai-on-gke/blob/main/ray-on-gke/README.md)
+file. 
+
+For more information about TPUs on GKE, see [this page](https://cloud.google.com/kubernetes-engine/docs/concepts/tpus).
+
+
+### Platform
+
+1. git clone https://github.com/GoogleCloudPlatform/ai-on-gke
+
+2. `cd ray-on-gke/platform`
+
+3. Edit `variables.tf` with your GCP settings.
+
+4. Change the region or zone to one where TPUs are available (see [this link](https://cloud.google.com/tpu/docs/regions-zones) for details.
+For v4 TPUs (the default type), the region should be set to `us-central2` or `us-central2-b`.
+
+5. Set the following flags (note that TPUs are currently only supported on GKE standard):
+
+```
+variable "enable_autopilot" {
+  type        = bool
+  description = "Set to true to enable GKE Autopilot clusters"
+  default     = false
+}
+
+variable "enable_tpu" {
+  type        = bool
+  description = "Set to true to create TPU node pool"
+  default     = true
+}
+```
+ 
+6. Run `terraform init`
+
+7. Run `terraform apply`
+
+### User
+
+1. Get the GKE cluster name and location/region from `platform/variables.tf`.
+   Run `gcloud container clusters get-credentials %gke_cluster_name% --location=%location%`
+   Configuring `gcloud` [instructions](https://cloud.google.com/sdk/docs/initializing)
+
+2. `cd ../user`
+
+3. Edit `variables.tf` with your GCP settings. The `<your user name>` that you specify will become a K8s namespace for your Ray services.
+
+4. Set `enable_tpu` to `true`.
+   
+5. Run `terraform init`
+
+6. Run `terraform apply`
+
+This should deploy a Kuberay cluster with a single TPU worker node (v4 TPU with `2x2x1` topology). 
+
+
+### Running Sample Workloads
+
+Install Jupyterhub according to the instructions in the [README](https://github.com/GoogleCloudPlatform/ai-on-gke/blob/main/ray-on-gke/README.md).
+
+A basic JAX program can be found [here](https://github.com/GoogleCloudPlatform/ai-on-gke/blob/main/ray-on-gke/example_notebooks/jax-tpu.ipynb).
+
+For a more advanced workload running Stable Diffusion on TPUs, see [here](https://github.com/GoogleCloudPlatform/ai-on-gke/blob/main/ray-on-gke/example_notebooks/stable-diffusion-tpu.ipynb).
+