from gcore import Gcore
client = Gcore(
api_key="My API Key",
)
task_id_list = client.cloud.gpu_baremetal_clusters.create(
project_id=0,
region_id=0,
flavor="bm3-ai-1xlarge-h100-80-8",
image_id="f01fd9a0-9548-48ba-82dc-a8c8b2d6f2f1",
interfaces=[{
"network_id": "024a29e9-b4b7-4c91-9a46-505be123d9f8",
"subnet_id": "91200a6c-07e0-42aa-98da-32d1f6545ae7",
"type": "subnet",
}],
name="my-gpu-cluster",
)
print(task_id_list.tasks)
{
"tasks": [
"d478ae29-dedc-4869-82f0-96104425f565"
]
}
Create a new GPU cluster with specified configuration. The cluster can be created with one or more nodes.
from gcore import Gcore
client = Gcore(
api_key="My API Key",
)
task_id_list = client.cloud.gpu_baremetal_clusters.create(
project_id=0,
region_id=0,
flavor="bm3-ai-1xlarge-h100-80-8",
image_id="f01fd9a0-9548-48ba-82dc-a8c8b2d6f2f1",
interfaces=[{
"network_id": "024a29e9-b4b7-4c91-9a46-505be123d9f8",
"subnet_id": "91200a6c-07e0-42aa-98da-32d1f6545ae7",
"type": "subnet",
}],
name="my-gpu-cluster",
)
print(task_id_list.tasks)
{
"tasks": [
"d478ae29-dedc-4869-82f0-96104425f565"
]
}
API key for authentication. Make sure to include the word apikey
, followed by a single space and then your token.
Example: apikey 1234$abcdef
created tasks for cluster creation
The response is of type object
.
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