create-endpoint
Create scalable GPU or CPU endpoints on RunPod by specifying template configurations, worker counts, and compute resources for deploying containerized applications.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| computeType | No | GPU or CPU endpoint | |
| dataCenterIds | No | List of data centers | |
| gpuCount | No | Number of GPUs per worker | |
| gpuTypeIds | No | List of acceptable GPU types | |
| name | No | Name for the endpoint | |
| templateId | Yes | Template ID to use | |
| workersMax | No | Maximum number of workers | |
| workersMin | No | Minimum number of workers |
Input Schema (JSON Schema)
{
"properties": {
"computeType": {
"description": "GPU or CPU endpoint",
"enum": [
"GPU",
"CPU"
],
"type": "string"
},
"dataCenterIds": {
"description": "List of data centers",
"items": {
"type": "string"
},
"type": "array"
},
"gpuCount": {
"description": "Number of GPUs per worker",
"type": "number"
},
"gpuTypeIds": {
"description": "List of acceptable GPU types",
"items": {
"type": "string"
},
"type": "array"
},
"name": {
"description": "Name for the endpoint",
"type": "string"
},
"templateId": {
"description": "Template ID to use",
"type": "string"
},
"workersMax": {
"description": "Maximum number of workers",
"type": "number"
},
"workersMin": {
"description": "Minimum number of workers",
"type": "number"
}
},
"required": [
"templateId"
],
"type": "object"
}