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POST
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Deploy a model version to a dedicated endpoint running a model with the same underlying architecture. The endpoint queues the deployment operation and returns a deployment ID for tracking status.

Authorizations

Authorization
string
header
required

Management API key generated from the Management API keys section on the API keys page at https://cloud.cerebras.ai. Use the format: Bearer <MANAGEMENT_API_KEY>

Path Parameters

endpoint_id
string
required

Unique identifier for the endpoint. It is used as the model field when making an inference request.

Example: my-org-gpt-oss-120b

Body

application/json
model
string
required

Model version name in the format of orgs/<org_name>/models/<model_arch_id>/versions/<version_id>, where <version_id> can be an integer version ID or a model version alias.

Response

200 - application/json

Successful Response

name
string
required

Deployment UUID. This can be used to later query the status of this deployment.

done
boolean
required

Whether the operation is complete.

response
EndpointDeploymentOperation · object | null

Deployment metadata captured at submission time.