Create inference deployment

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.inference.deployments.create(
    project_id=1,
    containers=[{
        "region_id": 1,
        "scale": {
            "max": 3,
            "min": 1,
        },
    }],
    flavor_name="inference-16vcpu-232gib-1xh100-80gb",
    image="nginx:latest",
    listening_port=80,
    name="my-instance",
)
print(task_id_list.tasks)

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