curl --request GET \
--url https://api.gcore.com/cloud/v3/gpu/virtual/{project_id}/{region_id}/clusters/{cluster_id}/servers \
--header 'Authorization: <api-key>'
{
"count": 1,
"results": [
{
"created_at": "2025-03-17T13:22:23Z",
"flavor": "g3-ai-64-384-3000-l40s-48-2",
"id": "b6e58490-58d3-451c-bb77-4178157c98b2",
"image_id": "ded40aad-505c-463b-aa59-8f5f455d1b6f",
"ip_addresses": [
"192.168.1.1"
],
"name": "my-server-e2241889",
"security_groups": [
{
"name": "some_name"
}
],
"ssh_key_name": "ded40aad-505c-463b-aa59-8f5f455d1b6f",
"status": "ACTIVE",
"tags": [
{
"key": "task_id",
"read_only": true,
"value": "d74c2bb9-cea7-4b23-a009-2f13518ae66d"
}
],
"task_id": "ded40aad-505c-463b-aa59-8f5f455d1b6f",
"updated_at": "2025-03-17T13:22:23Z"
}
]
}
List all servers in a virtual GPU cluster.
curl --request GET \
--url https://api.gcore.com/cloud/v3/gpu/virtual/{project_id}/{region_id}/clusters/{cluster_id}/servers \
--header 'Authorization: <api-key>'
{
"count": 1,
"results": [
{
"created_at": "2025-03-17T13:22:23Z",
"flavor": "g3-ai-64-384-3000-l40s-48-2",
"id": "b6e58490-58d3-451c-bb77-4178157c98b2",
"image_id": "ded40aad-505c-463b-aa59-8f5f455d1b6f",
"ip_addresses": [
"192.168.1.1"
],
"name": "my-server-e2241889",
"security_groups": [
{
"name": "some_name"
}
],
"ssh_key_name": "ded40aad-505c-463b-aa59-8f5f455d1b6f",
"status": "ACTIVE",
"tags": [
{
"key": "task_id",
"read_only": true,
"value": "d74c2bb9-cea7-4b23-a009-2f13518ae66d"
}
],
"task_id": "ded40aad-505c-463b-aa59-8f5f455d1b6f",
"updated_at": "2025-03-17T13:22:23Z"
}
]
}
API key for authentication. Make sure to include the word apikey
, followed by a single space and then your token.
Example: apikey 1234$abcdef
Project ID
1
Region ID
7
Cluster unique identifier
"1aaaab48-10d0-46d9-80cc-85209284ceb4"
Limit of items on a single page
0 < x <= 1000
10
Offset in results list
x >= 0
0
OK
The response is of type object
.
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