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POST
/
cloud
/
v1
/
ai
/
clusters
/
{project_id}
/
{region_id}
/
{instance_id}
/
detach_interface
Detach interface from bare metal GPU cluster server
curl --request POST \
  --url https://api.gcore.com/cloud/v1/ai/clusters/{project_id}/{region_id}/{instance_id}/detach_interface \
  --header 'Authorization: <api-key>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "ip_address": "192.168.123.20",
  "port_id": "351b0dd7-ca09-431c-be53-935db3785067"
}
'
{
  "tasks": [
    "d478ae29-dedc-4869-82f0-96104425f565"
  ]
}

Documentation Index

Fetch the complete documentation index at: https://gcore.com/docs/llms.txt

Use this file to discover all available pages before exploring further.

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

​
instance_id
string
required

Instance ID

Body

application/json

PortIdWithIpSchema schema

​
ip_address
string
required

IP address

​
port_id
string
required

ID of the port

Response

200 - application/json

Created task

​
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"]