Stop inference deployment

This operation shuts down an inference deployment, making it unavailable for handling requests. The deployment will scale down to 0 replicas, overriding any minimum replica settings.

• Once stopped, the deployment will not process any inference requests or SQS messages.
• It will not restart automatically and must be started manually.
• While stopped, the deployment will not incur any charges.

POST /cloud/v3/inference/{project_id}/deployments/{deployment_name}/stop

Python

Python

import os
from gcore import Gcore

client = Gcore(
    api_key=os.environ.get("GCORE_API_KEY"),  # This is the default and can be omitted
)
client.cloud.inference.deployments.stop(
    deployment_name="my-instance",
    project_id=1,
)

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

Example:

1

deployment_name · string · required

Inference instance name.

Example:

"my-instance"

Response

204

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