Execute virtual GPU cluster action

Perform a specific action on a virtual GPU cluster. Available actions: start, stop, soft reboot, hard reboot, resize, update tags.

POST /cloud/v3/gpu/virtual/{project_id}/{region_id}/clusters/{cluster_id}/action

Python

Python

import os
from gcore import Gcore

client = Gcore(
    api_key=os.environ.get("GCORE_API_KEY"),  # This is the default and can be omitted
)
task_id_list = client.cloud.gpu_virtual_clusters.action(
    cluster_id="1aaaab48-10d0-46d9-80cc-85209284ceb4",
    project_id=1,
    region_id=7,
    action="start",
)
print(task_id_list.tasks)

200

{
  "tasks": [
    "<string>"
  ]
}

Authorizations

Authorization · string · header · required

API key for authentication. Make sure to include the word apikey, followed by a single space and then your token. Example: apikey 1234$abcdef

Path Parameters

project_id · integer · required

Project ID

Example:

1

region_id · integer · required

Region ID

Example:

7

cluster_id · string<uuid4> · required

Cluster unique identifier

Example:

"1aaaab48-10d0-46d9-80cc-85209284ceb4"

Body

application/json

StartVirtualGPUClusterSerializer

StopVirtualGPUClusterSerializer

SoftRebootVirtualGPUClusterSerializer

HardRebootVirtualGPUClusterSerializer

UpdateTagsGPUClusterSerializer

ResizeVirtualGPUClusterSerializer

action · string · required

Action name

Allowed value: "start"

Example:

"start"

Response

200 - application/json

OK

tasks · string[] · required

List of task IDs representing asynchronous operations. Use these IDs to monitor operation progress:

• GET /v1/tasks/{task_id} - Check individual task status and details Poll task status until completion (FINISHED/ERROR) before proceeding with dependent operations.

Example:

["d478ae29-dedc-4869-82f0-96104425f565"]