ModelDeployment

This class manages containerized model deployments including resource allocation, scaling, and activation status.

Attributes

Model identifier

Deployment activation status

Number of serving instances

CPU allocation per replica

Memory allocation per replica

Examples

Get and update deployment:

# Get deployment
deployment = ModelDeployment.of(model_id=model.id)

# Update resources
deployment.replicas = 3
deployment.cpu = 1000
deployment.memory = 2048
job = deployment.update()
job.wait()

Initialize ModelDeployment instance.

Parameters

UUID | str

required

Model identifier

update()

Update an existing model deployment.

Returns

Job

classmethod of()

Get model deployment instance of the given model

Parameters

UUID | str

required

Model identifier

Returns

ModelDeployment instance

Fiddler Python Client SDK

Fiddler Evals SDK

Fiddler OTel SDK

Fiddler LangGraph SDK

Fiddler LangChain SDK

Fiddler Google ADK SDK

Fiddler Strands Agent SDK

Fiddler OTel JS SDK

Fiddler LangGraph JS SDK

Fiddler LangChain JS SDK

Attributes

Examples

Parameters

update()

Returns

classmethod of()

Parameters

Returns

​Attributes

​Examples

​Parameters

​update()

​Returns

​classmethod of()

​Parameters

​Returns

Attributes

Examples

Parameters

update()

Returns

classmethod of()

Parameters

Returns