update readme

README.md

@@ -172,7 +172,7 @@ You can find examples of code that uses this Terraform module in the [examples](
 | <a name="input_gke_delete_protection"></a> [gke\_delete\_protection](#input\_gke\_delete\_protection) | Whether the GKE Cluster should have delete protection enabled. | `bool` | `true` | no |
 | <a name="input_gke_kubernetes_version"></a> [gke\_kubernetes\_version](#input\_gke\_kubernetes\_version) | The used Kubernetes version for the GKE cluster. | `string` | `"1.30.3"` | no |
 | <a name="input_gke_nebuly_namespaces"></a> [gke\_nebuly\_namespaces](#input\_gke\_nebuly\_namespaces) | The namespaces used by Nebuly installation. Update this if you use custom namespaces in the Helm chart installation. | `set(string)` | <pre>[<br/>  "nebuly",<br/>  "nebuly-bootstrap"<br/>]</pre> | no |
-| <a name="input_gke_node_pools"></a> [gke\_node\_pools](#input\_gke\_node\_pools) | The node Pools used by the GKE cluster. | <pre>map(object({<br/>    machine_type   = string<br/>    min_nodes      = number<br/>    max_nodes      = number<br/>    node_count     = number<br/>    node_locations = optional(set(string), null)<br/>    preemptible    = optional(bool, false)<br/>    labels         = optional(map(string), {})<br/>    guest_accelerator = optional(object({<br/>      type  = string<br/>      count = number<br/>    }), null)<br/>  }))</pre> | <pre>{<br/>  "gpu-primary": {<br/>    "guest_accelerator": {<br/>      "count": 1,<br/>      "type": "nvidia-l4"<br/>    },<br/>    "labels": {<br/>      "gke-no-default-nvidia-gpu-device-plugin": true<br/>    },<br/>    "machine_type": "g2-standard-4",<br/>    "max_nodes": 1,<br/>    "min_nodes": 0,<br/>    "node_count": null<br/>  },<br/>  "gpu-secondary": {<br/>    "guest_accelerator": {<br/>      "count": 1,<br/>      "type": "nvidia-tesla-t4"<br/>    },<br/>    "labels": {<br/>      "gke-no-default-nvidia-gpu-device-plugin": true<br/>    },<br/>    "machine_type": "n1-standard-4",<br/>    "max_nodes": 1,<br/>    "min_nodes": 1,<br/>    "node_count": null<br/>  },<br/>  "web-services": {<br/>    "machine_type": "n2-highmem-4",<br/>    "max_nodes": 1,<br/>    "min_nodes": 1,<br/>    "node_count": 1<br/>  }<br/>}</pre> | no |
+| <a name="input_gke_node_pools"></a> [gke\_node\_pools](#input\_gke\_node\_pools) | The node Pools used by the GKE cluster. | <pre>map(object({<br/>    machine_type   = string<br/>    min_nodes      = number<br/>    max_nodes      = number<br/>    node_count     = number<br/>    node_locations = optional(set(string), null)<br/>    preemptible    = optional(bool, false)<br/>    labels         = optional(map(string), {})<br/>    guest_accelerator = optional(object({<br/>      type  = string<br/>      count = number<br/>    }), null)<br/>  }))</pre> | <pre>{<br/>  "gpu-primary": {<br/>    "guest_accelerator": {<br/>      "count": 1,<br/>      "type": "nvidia-l4"<br/>    },<br/>    "labels": {<br/>      "gke-no-default-nvidia-gpu-device-plugin": true,<br/>      "nebuly.com/accelerator": "nvidia-l4"<br/>    },<br/>    "machine_type": "g2-standard-8",<br/>    "max_nodes": 1,<br/>    "min_nodes": 0,<br/>    "node_count": null<br/>  },<br/>  "gpu-secondary": {<br/>    "guest_accelerator": {<br/>      "count": 1,<br/>      "type": "nvidia-tesla-t4"<br/>    },<br/>    "labels": {<br/>      "gke-no-default-nvidia-gpu-device-plugin": true,<br/>      "nebuly.com/accelerator": "nvidia-tesla-t4"<br/>    },<br/>    "machine_type": "n1-standard-4",<br/>    "max_nodes": 1,<br/>    "min_nodes": 0,<br/>    "node_count": null<br/>  },<br/>  "web-services": {<br/>    "machine_type": "n2-highmem-4",<br/>    "max_nodes": 1,<br/>    "min_nodes": 1,<br/>    "node_count": 1<br/>  }<br/>}</pre> | no |
 | <a name="input_gke_service_account_name"></a> [gke\_service\_account\_name](#input\_gke\_service\_account\_name) | The name of the Kubernetes Service Account used by Nebuly installation. | `string` | `"nebuly"` | no |
 | <a name="input_k8s_image_pull_secret_name"></a> [k8s\_image\_pull\_secret\_name](#input\_k8s\_image\_pull\_secret\_name) | The name of the Kubernetes Image Pull Secret to use. <br/>  This value will be used to auto-generate the values.yaml file for installing the Nebuly Platform Helm chart. | `string` | `"nebuly-docker-pull"` | no |
 | <a name="input_labels"></a> [labels](#input\_labels) | Common labels that will be applied to all resources. | `map(string)` | `{}` | no |

variables.tf

@@ -29,6 +29,7 @@ variable "openai_gpt4_deployment_name" {
   type        = string
 }
 
+
 # ------ Networking ------ #
 variable "network_cidr_blocks" {
   description = <<EOT