Replace a ModelDeployment

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Path Params
string
required

Kubernetes namespace of the resource.

string
required

Name of the resource.

Body Params

ModelDeployment is a namespaced resource representing a deployed AI model
instance. It references a ModelClass (which owns the Model identity and
the runtime template); credentials are scoped via spec.licenseCredential
(NGC) and spec.imagePullCredentials (image pull). Model-pull credentials
live on the referenced Model's spec.source.modelPullCredential. The
controller creates and manages an InferenceService on the GPU cluster for
each ModelDeployment, and exposes the resulting inference endpoint via
status.inferenceEndpointURI.

string

APIVersion defines the versioned schema of this representation of an object.
Servers should convert recognized schemas to the latest internal value, and
may reject unrecognized values.
More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources

string

Kind is a string value representing the REST resource this object represents.
Servers may infer this from the endpoint the client submits requests to.
Cannot be updated.
In CamelCase.
More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds

metadata
object
spec
object
required

Spec defines the desired state of ModelDeployment

Responses

400

Bad Request — the request body or parameters are invalid.

401

Unauthorized — no or invalid bearer token provided.

403

Forbidden — the authenticated principal lacks permission.

404

Not Found — the resource does not exist.

422

Unprocessable Entity — the object failed schema validation.

Language
Credentials
Bearer
URL
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Response
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