Delete bare metal GPU cluster server

Delete a specific node from a GPU cluster. The node must be in a state that allows deletion.

DELETE /cloud/v1/ai/clusters/gpu/{project_id}/{region_id}/{cluster_id}/node/{instance_id}

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_baremetal.clusters.servers.delete(
    instance_id="instance_id",
    project_id=0,
    region_id=0,
    cluster_id="cluster_id",
)
print(task_id_list.tasks)

200

{
  "tasks": [
    "d478ae29-dedc-4869-82f0-96104425f565"
  ]
}

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

region_id · integer · required

Region ID

cluster_id · string · required

Cluster ID

instance_id · string · required

Cluster node ID

Query Parameters

delete_floatings · boolean

Set False if you do not want to delete assigned floating IPs. By default, it's True.

Response

200

application/json

created tasks for node removal

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"]