Stop GPU instace

To stop the instance, provide the ID from the previously created environment. Once the environment is stopped, credit deductions for the instance will cease, helping you manage costs when the GPU is not in active use.

Stopped environments may not be recoverable, as the resources could be allocated to other users during the stopped period.

Example Request:

Replace {{API_TOKEN}} with your actual token.

Curl

curl --location --request POST 'https://api.netmind.ai/v1/rentgpu/containers/1547/stop' \
--header 'Authorization: Bearer {{API_TOKEN}}'

Python

import requests

url = "https://api.netmind.ai/v1/rentgpu/containers/1547/stop"

payload = {}
headers = {
  'Authorization': 'Bearer {{API_TOKEN}}'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)

Example Response:

{
    "created_at": "2024-10-31T09:31:22",
    "name": "demo_test",
    "auth_id": 0,
    "gpu": 1,
    "node_name": "...",
    "type": 0,
    "image_template_id": 0,
    "rental_type": 1,
    "enable_vscode": false,
    "enable_jupyter": false,
    "cpu": 20,
    "disk_size": 300,
    "memory": 40,
    "gpu_name": "NVIDIA_GeForce_RTX_3090",
    "id": 0,
    "ssh": "ssh [e-mail] -p 5034",
    "status": "EXPIRED",
    "exposed_service": null,
    "vscode_service": null,
    "jupyter_service": null
}