v1
latestOpenAPI 3.0.32026-07-133733150.4 KBpods
Update a Pod
Update a Pod, potentially triggering a reset.
patch/pods/{podId}
Path parameters
podIdstring required
ID of Pod that needs to be updated.
Request body
Example request
{
"containerRegistryAuthId": "clzdaifot0001l90809257ynb",
"env": {
"ENV_VAR": "value"
},
"globalNetworking": true,
"imageName": "runpod/pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.04",
"ports": [
"8888/http",
"22/tcp"
]
}Response
Pod successfully updated.
Example response
{
"adjustedCostPerHr": 0.69,
"consumerUserId": "user_2PyTJrLzeuwfZilRZ7JhCQDuSqo",
"containerDiskInGb": 50,
"containerRegistryAuthId": "clzdaifot0001l90809257ynb",
"cpuFlavorId": "cpu3c",
"env": {
"ENV_VAR": "value"
},
"gpu": {
"count": 1
},
"id": "xedezhzb9la3ye",
"image": "runpod/pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.04",
"lastStartedAt": "2024-07-12T19:14:40.144Z",
"lastStatusChange": "Rented by User: Fri Jul 12 2024 15:14:40 GMT-0400 (Eastern Daylight Time)",
"machine": {
"gpuType": {
"count": 1
}
},
"machineId": "s194cr8pls2z",
"memoryInGb": 62,
"networkVolume": {
"id": "agv6w2qcg7",
"name": "my network volume",
"size": 50,
"dataCenterId": "EU-RO-1"
},
"portMappings": {
"22": 10341
},
"ports": [
"8888/http",
"22/tcp"
],
"publicIp": "100.65.0.119",
"savingsPlans": [
{
"costPerHr": 0.21,
"endTime": "2024-07-12T19:14:40.144Z",
"gpuTypeId": "NVIDIA GeForce RTX 4090",
"id": "clkrb4qci0000mb09c7sualzo",
"podId": "xedezhzb9la3ye",
"startTime": "2024-05-12T19:14:40.144Z"
}
],
"vcpuCount": 24,
"volumeInGb": 20,
"volumeMountPath": "/workspace"
}