Pause the calculation instance

Pauses a compute instance in the ACTIVE state, stops its workers, and transitions the instance to SUSPENDED. You must check the details to confirm the status before requesting.

POST https://moi.matrixorigin.cn/newmoi/compute-resources/{resource_id}/suspend

Preparation before calling

First query the calculation instance details and confirm that the instance status is ACTIVE. IDLE, SUSPENDED, ERROR or transition states cannot be paused. Prepare a personal access token with access to the target workspace, the target workspace ID, and the compute instance ID.

The example below uses:

• $AI_STUDIO_API_KEY: The actual personal access token, passed through the X-API-Key Header.

• $WORKSPACE_ID: Target workspace ID, passed through X-Workspace-ID Header.

• $RESOURCE_ID: ID of the compute instance to pause.

Pausing affects workloads that use the instance.

Request example

curl -X POST "https://moi.matrixorigin.cn/newmoi/compute-resources/$RESOURCE_ID/suspend" \
  -H "X-API-Key: $AI_STUDIO_API_KEY" \
  -H "X-Workspace-ID: $WORKSPACE_ID"

Path parameters

Parameter	Type	Required	Description
resource_id	string	Yes	Compute instance ID.

Successful response

When successful, 200 is returned, and data is the calculation instance object.

{
  "code": "OK",
  "msg": "OK",
  "data": {
    "id": "cr-001",
    "name": "data-processing",
    "spec_id": "task-standard-small",
    "status": "SUSPENDED",
    "status_message": "",
    "min_replicas": 0,
    "max_replicas": 2,
    "current_replicas": 0
  }
}

The response fields are as follows.

Field	Type	Description
code	string	OK on success.
msg	string	OK on success.
data.id	string	Compute instance ID.
data.workspace_id	string	ID of the workspace to which it belongs.
data.name	string	Compute instance name.
data.description	string	Example description; returned when there is a value.
data.spec_id	string	Compute spec ID.
data.kind	string	Instance type.
data.cpu	integer	CPU configuration value.
data.memory_gib	integer	Configuration value expressed in GiB of memory.
data.gpu	integer	GPU configuration value.
data.cpu_milli	integer	CPU configuration value in millicores.
data.memory_mib	integer	Configuration value expressed in MiB of memory.
data.gpu_count	integer	Number of GPUs.
data.gpu_memory_mib	integer	MiB of video memory for a single GPU.
data.gpu_cores	integer	Number of GPU cores.
data.min_replicas	integer	Serverless instances are fixed to 0.
data.max_replicas	integer	Maximum number of copies.
data.desired_replicas	integer	Number of target copies.
data.current_replicas	integer	The current number of copies.
data.go_worker_image_id	string	Go Worker image ID; returned if there is a value.
data.python_worker_image_id	string	Python Worker image ID; returned if there is a value.
data.worker_images	object[]	Worker image selection; returned when there is a value.
data.worker_images[].worker_type	string	Worker type.
data.worker_images[].image_id	string	Image ID.
data.worker_images[].platform	string	Running platform.
data.platform	string	Instance running platform; returned if there is a value.
data.auto_suspend_minutes	integer	Automatic pause waiting time.
data.is_default	boolean	Whether it is the default computing instance of the workspace.
data.status	string	SUSPENDED on success.
data.status_message	string	Supplementary status information.
data.scale_reason	string	The scaling reason provided by the server; returned if there is a value.
data.last_activation_at	string	Last activation time; returned if there is a value.
data.last_active_at	string	Last active time; returned if there is a value.
data.created_by	string	Creator ID; returned if there is a value.
data.created_at	string	Creation time; returned if there is a value.
data.updated_at	string	Last updated time; returned if there is a value.

In this document, [] after a type means an array; for example, object[] is an array of objects. In field paths, [] means each item in an array; for example, data.worker_images[].worker_type is the worker_type field of each item in data.worker_images.

Error response

{
  "code": "SUSPEND_FAILED",
  "msg": "请求参数无效",
  "data": null
}

Common HTTP errors

HTTP status code	error code	Common causes	Recommended actions
400	SUSPEND_FAILED	The instance ID is invalid or the current state does not allow suspension.	Check the instance details first, confirm the status and try again.
401	—	Missing or invalid access credentials.	Check API Key and Workspace Header.
403	ErrForbidden	The current identity does not have instance operation permissions.	Requesting permission to compute_resource.operate.
404	NOT_FOUND	The instance does not exist or does not belong to the current workspace.	Check resource_id and workspace.
409	ErrConflict	The instance status conflicts with this operation.	Read the latest status before operating.
500	SUSPEND_FAILED	The server failed to handle the pause request.	Try again later.

Follow-up operations

Query calculation instance details, and Restore computing instance when it needs to be reused.

Last updated on Sep 3, 2026