---
# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
---

> **⚠️ Important**: This documentation is automatically generated from source code.
> Do not edit this file directly.

# API Reference

## Packages
- [nvidia.com/v1alpha1](#nvidiacomv1alpha1)
- [nvidia.com/v1beta1](#nvidiacomv1beta1)


## nvidia.com/v1alpha1

Package v1alpha1 contains API Schema definitions for the nvidia.com v1alpha1 API group.

This package defines the DynamoGraphDeploymentRequest (DGDR) custom resource, which provides
a high-level, SLA-driven interface for deploying machine learning models on Dynamo.

Package v1alpha1 contains API Schema definitions for the nvidia.com v1alpha1 API group.

### Resource Types
- [DynamoCheckpoint](#dynamocheckpoint)
- [DynamoComponentDeployment](#dynamocomponentdeployment)
- [DynamoGraphDeployment](#dynamographdeployment)
- [DynamoGraphDeploymentRequest](#dynamographdeploymentrequest)
- [DynamoGraphDeploymentScalingAdapter](#dynamographdeploymentscalingadapter)
- [DynamoModel](#dynamomodel)



#### Autoscaling



Deprecated: This field is deprecated and ignored. Use DynamoGraphDeploymentScalingAdapter
with HPA, KEDA, or Planner for autoscaling instead. See docs/pages/kubernetes/autoscaling.md
for migration guidance. This field will be removed in a future API version.



_Appears in:_
- [DynamoComponentDeploymentSharedSpec](#dynamocomponentdeploymentsharedspec)
- [DynamoComponentDeploymentSpec](#dynamocomponentdeploymentspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `enabled` _boolean_ | Deprecated: This field is ignored. |  |  |
| `minReplicas` _integer_ | Deprecated: This field is ignored. |  |  |
| `maxReplicas` _integer_ | Deprecated: This field is ignored. |  |  |
| `behavior` _[HorizontalPodAutoscalerBehavior](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#horizontalpodautoscalerbehavior-v2-autoscaling)_ | Deprecated: This field is ignored. |  |  |
| `metrics` _[MetricSpec](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#metricspec-v2-autoscaling) array_ | Deprecated: This field is ignored. |  |  |




#### CheckpointMode

_Underlying type:_ _string_

CheckpointMode defines how checkpoint creation is handled

_Validation:_
- Enum: [Auto Manual]

_Appears in:_
- [ServiceCheckpointConfig](#servicecheckpointconfig)

| Field | Description |
| --- | --- |
| `Auto` | CheckpointModeAuto means the DGD controller will automatically create a Checkpoint CR<br /> |
| `Manual` | CheckpointModeManual means the user must create the Checkpoint CR themselves<br /> |


#### ComponentKind

_Underlying type:_ _string_

ComponentKind represents the type of underlying Kubernetes resource.

_Validation:_
- Enum: [PodClique PodCliqueScalingGroup Deployment LeaderWorkerSet]

_Appears in:_
- [ServiceReplicaStatus](#servicereplicastatus)

| Field | Description |
| --- | --- |
| `PodClique` | ComponentKindPodClique represents a PodClique resource.<br /> |
| `PodCliqueScalingGroup` | ComponentKindPodCliqueScalingGroup represents a PodCliqueScalingGroup resource.<br /> |
| `Deployment` | ComponentKindDeployment represents a Deployment resource.<br /> |
| `LeaderWorkerSet` | ComponentKindLeaderWorkerSet represents a LeaderWorkerSet resource.<br /> |


#### ConfigMapKeySelector



ConfigMapKeySelector selects a specific key from a ConfigMap.
Used to reference external configuration data stored in ConfigMaps.



_Appears in:_
- [ProfilingConfigSpec](#profilingconfigspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `name` _string_ | Name of the ConfigMap containing the desired data. |  | Required: \{\} <br /> |
| `key` _string_ | Key in the ConfigMap to select. If not specified, defaults to "disagg.yaml". | disagg.yaml |  |


#### DGDRState

_Underlying type:_ _string_



_Validation:_
- Enum: [Initializing Pending Profiling Deploying Ready DeploymentDeleted Failed]

_Appears in:_
- [DynamoGraphDeploymentRequestStatus](#dynamographdeploymentrequeststatus)

| Field | Description |
| --- | --- |
| `Initializing` |  |
| `Pending` |  |
| `Profiling` |  |
| `Deploying` |  |
| `Ready` |  |
| `DeploymentDeleted` |  |
| `Failed` |  |


#### DGDState

_Underlying type:_ _string_



_Validation:_
- Enum: [initializing pending successful failed]

_Appears in:_
- [DeploymentStatus](#deploymentstatus)
- [DynamoGraphDeploymentStatus](#dynamographdeploymentstatus)

| Field | Description |
| --- | --- |
| `initializing` |  |
| `pending` |  |
| `successful` |  |
| `failed` |  |


#### DeploymentOverridesSpec



DeploymentOverridesSpec allows users to customize metadata for auto-created DynamoGraphDeployments.
When autoApply is enabled, these overrides are applied to the generated DGD resource.



_Appears in:_
- [DynamoGraphDeploymentRequestSpec](#dynamographdeploymentrequestspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `name` _string_ | Name is the desired name for the created DynamoGraphDeployment.<br />If not specified, defaults to the DGDR name. |  | Optional: \{\} <br /> |
| `namespace` _string_ | Namespace is the desired namespace for the created DynamoGraphDeployment.<br />If not specified, defaults to the DGDR namespace. |  | Optional: \{\} <br /> |
| `labels` _object (keys:string, values:string)_ | Labels are additional labels to add to the DynamoGraphDeployment metadata.<br />These are merged with auto-generated labels from the profiling process. |  | Optional: \{\} <br /> |
| `annotations` _object (keys:string, values:string)_ | Annotations are additional annotations to add to the DynamoGraphDeployment metadata. |  | Optional: \{\} <br /> |
| `workersImage` _string_ | WorkersImage specifies the container image to use for DynamoGraphDeployment worker components.<br />This image is used for both temporary DGDs created during online profiling and the final DGD.<br />If omitted, the image from the base config file (e.g., disagg.yaml) is used.<br />Example: "nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.6.1" |  | Optional: \{\} <br /> |


#### DeploymentStatus



DeploymentStatus tracks the state of an auto-created DynamoGraphDeployment.
This status is populated when autoApply is enabled and a DGD is created.



_Appears in:_
- [DynamoGraphDeploymentRequestStatus](#dynamographdeploymentrequeststatus)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `name` _string_ | Name is the name of the created DynamoGraphDeployment. |  |  |
| `namespace` _string_ | Namespace is the namespace of the created DynamoGraphDeployment. |  |  |
| `state` _[DGDState](#dgdstate)_ | State is the current state of the DynamoGraphDeployment.<br />This value is mirrored from the DGD's status.state field. | initializing | Enum: [initializing pending successful failed] <br /> |
| `created` _boolean_ | Created indicates whether the DGD has been successfully created.<br />Used to prevent recreation if the DGD is manually deleted by users. |  |  |




#### DynamoCheckpoint



DynamoCheckpoint is the Schema for the dynamocheckpoints API
It represents a container checkpoint that can be used to restore pods to a warm state





| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `apiVersion` _string_ | `nvidia.com/v1alpha1` | | |
| `kind` _string_ | `DynamoCheckpoint` | | |
| `metadata` _[ObjectMeta](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#objectmeta-v1-meta)_ | Refer to Kubernetes API documentation for fields of `metadata`. |  |  |
| `spec` _[DynamoCheckpointSpec](#dynamocheckpointspec)_ |  |  |  |
| `status` _[DynamoCheckpointStatus](#dynamocheckpointstatus)_ |  |  |  |




#### DynamoCheckpointIdentity



DynamoCheckpointIdentity defines the inputs that determine checkpoint equivalence
Two checkpoints with the same identity hash are considered equivalent



_Appears in:_
- [DynamoCheckpointSpec](#dynamocheckpointspec)
- [ServiceCheckpointConfig](#servicecheckpointconfig)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `model` _string_ | Model is the model identifier (e.g., "meta-llama/Llama-3-70B") |  | Required: \{\} <br /> |
| `backendFramework` _string_ | BackendFramework is the runtime framework (vllm, sglang, trtllm) |  | Enum: [vllm sglang trtllm] <br />Required: \{\} <br /> |
| `dynamoVersion` _string_ | DynamoVersion is the Dynamo platform version (optional)<br />If not specified, version is not included in identity hash<br />This ensures checkpoint compatibility across Dynamo releases |  | Optional: \{\} <br /> |
| `tensorParallelSize` _integer_ | TensorParallelSize is the tensor parallel configuration | 1 | Minimum: 1 <br />Optional: \{\} <br /> |
| `pipelineParallelSize` _integer_ | PipelineParallelSize is the pipeline parallel configuration | 1 | Minimum: 1 <br />Optional: \{\} <br /> |
| `dtype` _string_ | Dtype is the data type (fp16, bf16, fp8, etc.) |  | Optional: \{\} <br /> |
| `maxModelLen` _integer_ | MaxModelLen is the maximum sequence length |  | Minimum: 1 <br />Optional: \{\} <br /> |
| `extraParameters` _object (keys:string, values:string)_ | ExtraParameters are additional parameters that affect the checkpoint hash<br />Use for any framework-specific or custom parameters not covered above |  | Optional: \{\} <br /> |


#### DynamoCheckpointJobConfig



DynamoCheckpointJobConfig defines the configuration for the checkpoint creation Job



_Appears in:_
- [DynamoCheckpointSpec](#dynamocheckpointspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `podTemplateSpec` _[PodTemplateSpec](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#podtemplatespec-v1-core)_ | PodTemplateSpec allows customizing the checkpoint Job pod<br />This should include the container that runs the workload to be checkpointed |  | Required: \{\} <br /> |
| `activeDeadlineSeconds` _integer_ | ActiveDeadlineSeconds specifies the maximum time the Job can run | 3600 | Optional: \{\} <br /> |
| `backoffLimit` _integer_ | BackoffLimit specifies the number of retries before marking the Job failed | 3 | Optional: \{\} <br /> |
| `ttlSecondsAfterFinished` _integer_ | TTLSecondsAfterFinished specifies how long to keep the Job after completion | 300 | Optional: \{\} <br /> |


#### DynamoCheckpointPhase

_Underlying type:_ _string_

DynamoCheckpointPhase represents the current phase of the checkpoint lifecycle

_Validation:_
- Enum: [Pending Creating Ready Failed]

_Appears in:_
- [DynamoCheckpointStatus](#dynamocheckpointstatus)

| Field | Description |
| --- | --- |
| `Pending` | DynamoCheckpointPhasePending indicates the checkpoint CR has been created but the Job has not started<br /> |
| `Creating` | DynamoCheckpointPhaseCreating indicates the checkpoint Job is running<br /> |
| `Ready` | DynamoCheckpointPhaseReady indicates the checkpoint tar file is available on the PVC<br /> |
| `Failed` | DynamoCheckpointPhaseFailed indicates the checkpoint creation failed<br /> |


#### DynamoCheckpointSpec



DynamoCheckpointSpec defines the desired state of DynamoCheckpoint



_Appears in:_
- [DynamoCheckpoint](#dynamocheckpoint)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `identity` _[DynamoCheckpointIdentity](#dynamocheckpointidentity)_ | Identity defines the inputs that determine checkpoint equivalence |  | Required: \{\} <br /> |
| `job` _[DynamoCheckpointJobConfig](#dynamocheckpointjobconfig)_ | Job defines the configuration for the checkpoint creation Job |  | Required: \{\} <br /> |


#### DynamoCheckpointStatus



DynamoCheckpointStatus defines the observed state of DynamoCheckpoint



_Appears in:_
- [DynamoCheckpoint](#dynamocheckpoint)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `phase` _[DynamoCheckpointPhase](#dynamocheckpointphase)_ | Phase represents the current phase of the checkpoint lifecycle |  | Enum: [Pending Creating Ready Failed] <br />Optional: \{\} <br /> |
| `identityHash` _string_ | IdentityHash is the computed hash of the checkpoint identity<br />This hash is used to identify equivalent checkpoints |  | Optional: \{\} <br /> |
| `location` _string_ | Location is the full URI/path to the checkpoint in the storage backend<br />For PVC: same as TarPath (e.g., /checkpoints/\{hash\}.tar)<br />For S3: s3://bucket/prefix/\{hash\}.tar<br />For OCI: oci://registry/repo:\{hash\} |  | Optional: \{\} <br /> |
| `storageType` _[DynamoCheckpointStorageType](#dynamocheckpointstoragetype)_ | StorageType indicates the storage backend type used for this checkpoint |  | Enum: [pvc s3 oci] <br />Optional: \{\} <br /> |
| `jobName` _string_ | JobName is the name of the checkpoint creation Job |  | Optional: \{\} <br /> |
| `createdAt` _[Time](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#time-v1-meta)_ | CreatedAt is the timestamp when the checkpoint tar was created |  | Optional: \{\} <br /> |
| `message` _string_ | Message provides additional information about the current state |  | Optional: \{\} <br /> |
| `conditions` _[Condition](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#condition-v1-meta) array_ | Conditions represent the latest available observations of the checkpoint's state |  | Optional: \{\} <br /> |


#### DynamoCheckpointStorageType

_Underlying type:_ _string_

DynamoCheckpointStorageType defines the supported storage backends for checkpoints

_Validation:_
- Enum: [pvc s3 oci]

_Appears in:_
- [DynamoCheckpointStatus](#dynamocheckpointstatus)



#### DynamoComponentDeployment



DynamoComponentDeployment is the Schema for the dynamocomponentdeployments API





| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `apiVersion` _string_ | `nvidia.com/v1alpha1` | | |
| `kind` _string_ | `DynamoComponentDeployment` | | |
| `metadata` _[ObjectMeta](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#objectmeta-v1-meta)_ | Refer to Kubernetes API documentation for fields of `metadata`. |  |  |
| `spec` _[DynamoComponentDeploymentSpec](#dynamocomponentdeploymentspec)_ | Spec defines the desired state for this Dynamo component deployment. |  |  |


#### DynamoComponentDeploymentSharedSpec







_Appears in:_
- [DynamoComponentDeploymentSpec](#dynamocomponentdeploymentspec)
- [DynamoGraphDeploymentSpec](#dynamographdeploymentspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `annotations` _object (keys:string, values:string)_ | Annotations to add to generated Kubernetes resources for this component<br />(such as Pod, Service, and Ingress when applicable). |  |  |
| `labels` _object (keys:string, values:string)_ | Labels to add to generated Kubernetes resources for this component. |  |  |
| `serviceName` _string_ | The name of the component |  |  |
| `componentType` _string_ | ComponentType indicates the role of this component (for example, "main"). |  |  |
| `subComponentType` _string_ | SubComponentType indicates the sub-role of this component (for example, "prefill"). |  |  |
| `dynamoNamespace` _string_ | DynamoNamespace is deprecated and will be removed in a future version.<br />The DGD Kubernetes namespace and DynamoGraphDeployment name are used to construct the Dynamo namespace for each component |  | Optional: \{\} <br /> |
| `globalDynamoNamespace` _boolean_ | GlobalDynamoNamespace indicates that the Component will be placed in the global Dynamo namespace |  |  |
| `resources` _[Resources](#resources)_ | Resources requested and limits for this component, including CPU, memory,<br />GPUs/devices, and any runtime-specific resources. |  |  |
| `autoscaling` _[Autoscaling](#autoscaling)_ | Deprecated: This field is deprecated and ignored. Use DynamoGraphDeploymentScalingAdapter<br />with HPA, KEDA, or Planner for autoscaling instead. See docs/pages/kubernetes/autoscaling.md<br />for migration guidance. This field will be removed in a future API version. |  |  |
| `envs` _[EnvVar](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#envvar-v1-core) array_ | Envs defines additional environment variables to inject into the component containers. |  |  |
| `envFromSecret` _string_ | EnvFromSecret references a Secret whose key/value pairs will be exposed as<br />environment variables in the component containers. |  |  |
| `volumeMounts` _[VolumeMount](#volumemount) array_ | VolumeMounts references PVCs defined at the top level for volumes to be mounted by the component. |  |  |
| `ingress` _[IngressSpec](#ingressspec)_ | Ingress config to expose the component outside the cluster (or through a service mesh). |  |  |
| `modelRef` _[ModelReference](#modelreference)_ | ModelRef references a model that this component serves<br />When specified, a headless service will be created for endpoint discovery |  | Optional: \{\} <br /> |
| `sharedMemory` _[SharedMemorySpec](#sharedmemoryspec)_ | SharedMemory controls the tmpfs mounted at /dev/shm (enable/disable and size). |  |  |
| `extraPodMetadata` _[ExtraPodMetadata](#extrapodmetadata)_ | ExtraPodMetadata adds labels/annotations to the created Pods. |  | Optional: \{\} <br /> |
| `extraPodSpec` _[ExtraPodSpec](#extrapodspec)_ | ExtraPodSpec allows to override the main pod spec configuration.<br />It is a k8s standard PodSpec. It also contains a MainContainer (standard k8s Container) field<br />that allows overriding the main container configuration. |  | Optional: \{\} <br /> |
| `livenessProbe` _[Probe](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#probe-v1-core)_ | LivenessProbe to detect and restart unhealthy containers. |  |  |
| `readinessProbe` _[Probe](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#probe-v1-core)_ | ReadinessProbe to signal when the container is ready to receive traffic. |  |  |
| `replicas` _integer_ | Replicas is the desired number of Pods for this component.<br />When scalingAdapter is enabled, this field is managed by the<br />DynamoGraphDeploymentScalingAdapter and should not be modified directly. |  | Minimum: 0 <br /> |
| `multinode` _[MultinodeSpec](#multinodespec)_ | Multinode is the configuration for multinode components. |  |  |
| `scalingAdapter` _[ScalingAdapter](#scalingadapter)_ | ScalingAdapter configures whether this service uses the DynamoGraphDeploymentScalingAdapter.<br />When enabled, replicas are managed via DGDSA and external autoscalers can scale<br />the service using the Scale subresource. When disabled, replicas can be modified directly. |  | Optional: \{\} <br /> |
| `eppConfig` _[EPPConfig](#eppconfig)_ | EPPConfig defines EPP-specific configuration options for Endpoint Picker Plugin components.<br />Only applicable when ComponentType is "epp". |  | Optional: \{\} <br /> |
| `checkpoint` _[ServiceCheckpointConfig](#servicecheckpointconfig)_ | Checkpoint configures container checkpointing for this service.<br />When enabled, pods can be restored from a checkpoint files for faster cold start. |  | Optional: \{\} <br /> |


#### DynamoComponentDeploymentSpec



DynamoComponentDeploymentSpec defines the desired state of DynamoComponentDeployment



_Appears in:_
- [DynamoComponentDeployment](#dynamocomponentdeployment)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `backendFramework` _string_ | BackendFramework specifies the backend framework (e.g., "sglang", "vllm", "trtllm") |  | Enum: [sglang vllm trtllm] <br /> |
| `annotations` _object (keys:string, values:string)_ | Annotations to add to generated Kubernetes resources for this component<br />(such as Pod, Service, and Ingress when applicable). |  |  |
| `labels` _object (keys:string, values:string)_ | Labels to add to generated Kubernetes resources for this component. |  |  |
| `serviceName` _string_ | The name of the component |  |  |
| `componentType` _string_ | ComponentType indicates the role of this component (for example, "main"). |  |  |
| `subComponentType` _string_ | SubComponentType indicates the sub-role of this component (for example, "prefill"). |  |  |
| `dynamoNamespace` _string_ | DynamoNamespace is deprecated and will be removed in a future version.<br />The DGD Kubernetes namespace and DynamoGraphDeployment name are used to construct the Dynamo namespace for each component |  | Optional: \{\} <br /> |
| `globalDynamoNamespace` _boolean_ | GlobalDynamoNamespace indicates that the Component will be placed in the global Dynamo namespace |  |  |
| `resources` _[Resources](#resources)_ | Resources requested and limits for this component, including CPU, memory,<br />GPUs/devices, and any runtime-specific resources. |  |  |
| `autoscaling` _[Autoscaling](#autoscaling)_ | Deprecated: This field is deprecated and ignored. Use DynamoGraphDeploymentScalingAdapter<br />with HPA, KEDA, or Planner for autoscaling instead. See docs/pages/kubernetes/autoscaling.md<br />for migration guidance. This field will be removed in a future API version. |  |  |
| `envs` _[EnvVar](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#envvar-v1-core) array_ | Envs defines additional environment variables to inject into the component containers. |  |  |
| `envFromSecret` _string_ | EnvFromSecret references a Secret whose key/value pairs will be exposed as<br />environment variables in the component containers. |  |  |
| `volumeMounts` _[VolumeMount](#volumemount) array_ | VolumeMounts references PVCs defined at the top level for volumes to be mounted by the component. |  |  |
| `ingress` _[IngressSpec](#ingressspec)_ | Ingress config to expose the component outside the cluster (or through a service mesh). |  |  |
| `modelRef` _[ModelReference](#modelreference)_ | ModelRef references a model that this component serves<br />When specified, a headless service will be created for endpoint discovery |  | Optional: \{\} <br /> |
| `sharedMemory` _[SharedMemorySpec](#sharedmemoryspec)_ | SharedMemory controls the tmpfs mounted at /dev/shm (enable/disable and size). |  |  |
| `extraPodMetadata` _[ExtraPodMetadata](#extrapodmetadata)_ | ExtraPodMetadata adds labels/annotations to the created Pods. |  | Optional: \{\} <br /> |
| `extraPodSpec` _[ExtraPodSpec](#extrapodspec)_ | ExtraPodSpec allows to override the main pod spec configuration.<br />It is a k8s standard PodSpec. It also contains a MainContainer (standard k8s Container) field<br />that allows overriding the main container configuration. |  | Optional: \{\} <br /> |
| `livenessProbe` _[Probe](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#probe-v1-core)_ | LivenessProbe to detect and restart unhealthy containers. |  |  |
| `readinessProbe` _[Probe](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#probe-v1-core)_ | ReadinessProbe to signal when the container is ready to receive traffic. |  |  |
| `replicas` _integer_ | Replicas is the desired number of Pods for this component.<br />When scalingAdapter is enabled, this field is managed by the<br />DynamoGraphDeploymentScalingAdapter and should not be modified directly. |  | Minimum: 0 <br /> |
| `multinode` _[MultinodeSpec](#multinodespec)_ | Multinode is the configuration for multinode components. |  |  |
| `scalingAdapter` _[ScalingAdapter](#scalingadapter)_ | ScalingAdapter configures whether this service uses the DynamoGraphDeploymentScalingAdapter.<br />When enabled, replicas are managed via DGDSA and external autoscalers can scale<br />the service using the Scale subresource. When disabled, replicas can be modified directly. |  | Optional: \{\} <br /> |
| `eppConfig` _[EPPConfig](#eppconfig)_ | EPPConfig defines EPP-specific configuration options for Endpoint Picker Plugin components.<br />Only applicable when ComponentType is "epp". |  | Optional: \{\} <br /> |
| `checkpoint` _[ServiceCheckpointConfig](#servicecheckpointconfig)_ | Checkpoint configures container checkpointing for this service.<br />When enabled, pods can be restored from a checkpoint files for faster cold start. |  | Optional: \{\} <br /> |


#### DynamoGraphDeployment



DynamoGraphDeployment is the Schema for the dynamographdeployments API.





| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `apiVersion` _string_ | `nvidia.com/v1alpha1` | | |
| `kind` _string_ | `DynamoGraphDeployment` | | |
| `metadata` _[ObjectMeta](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#objectmeta-v1-meta)_ | Refer to Kubernetes API documentation for fields of `metadata`. |  |  |
| `spec` _[DynamoGraphDeploymentSpec](#dynamographdeploymentspec)_ | Spec defines the desired state for this graph deployment. |  |  |
| `status` _[DynamoGraphDeploymentStatus](#dynamographdeploymentstatus)_ | Status reflects the current observed state of this graph deployment. |  |  |


#### DynamoGraphDeploymentRequest



DynamoGraphDeploymentRequest is the Schema for the dynamographdeploymentrequests API.
It serves as the primary interface for users to request model deployments with
specific performance and resource constraints, enabling SLA-driven deployments.

Lifecycle:
 1. Initializing → Pending: Validates spec and prepares for profiling
 2. Pending → Profiling: Creates and runs profiling job (online or AIC)
 3. Profiling → Ready/Deploying: Generates DGD spec after profiling completes
 4. Deploying → Ready: When autoApply=true, monitors DGD until Ready
 5. Ready: Terminal state when DGD is operational or spec is available
 6. DeploymentDeleted: Terminal state when auto-created DGD is manually deleted

The spec becomes immutable once profiling starts. Users must delete and recreate
the DGDR to modify configuration after this point.

DEPRECATION NOTICE: v1alpha1 DynamoGraphDeploymentRequest is deprecated.
Please migrate to nvidia.com/v1beta1 DynamoGraphDeploymentRequest.
v1alpha1 will be removed in a future release.





| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `apiVersion` _string_ | `nvidia.com/v1alpha1` | | |
| `kind` _string_ | `DynamoGraphDeploymentRequest` | | |
| `metadata` _[ObjectMeta](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#objectmeta-v1-meta)_ | Refer to Kubernetes API documentation for fields of `metadata`. |  |  |
| `spec` _[DynamoGraphDeploymentRequestSpec](#dynamographdeploymentrequestspec)_ | Spec defines the desired state for this deployment request. |  |  |
| `status` _[DynamoGraphDeploymentRequestStatus](#dynamographdeploymentrequeststatus)_ | Status reflects the current observed state of this deployment request. |  |  |


#### DynamoGraphDeploymentRequestSpec



DynamoGraphDeploymentRequestSpec defines the desired state of a DynamoGraphDeploymentRequest.
This CRD serves as the primary interface for users to request model deployments with
specific performance constraints and resource requirements, enabling SLA-driven deployments.



_Appears in:_
- [DynamoGraphDeploymentRequest](#dynamographdeploymentrequest)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `model` _string_ | Model specifies the model to deploy (e.g., "Qwen/Qwen3-0.6B", "meta-llama/Llama-3-70b").<br />This is a high-level identifier for easy reference in kubectl output and logs.<br />The controller automatically sets this value in profilingConfig.config.deployment.model. |  | Required: \{\} <br /> |
| `backend` _string_ | Backend specifies the inference backend for profiling.<br />The controller automatically sets this value in profilingConfig.config.engine.backend.<br />Profiling runs on real GPUs or via AIC simulation to collect performance data. |  | Enum: [vllm sglang trtllm] <br />Required: \{\} <br /> |
| `useMocker` _boolean_ | UseMocker indicates whether to deploy a mocker DynamoGraphDeployment instead of<br />a real backend deployment. When true, the deployment uses simulated engines that<br />don't require GPUs, using the profiling data to simulate realistic timing behavior.<br />Mocker is available in all backend images and useful for large-scale experiments.<br />Profiling still runs against the real backend (specified above) to collect performance data. | false |  |
| `profilingConfig` _[ProfilingConfigSpec](#profilingconfigspec)_ | ProfilingConfig provides the complete configuration for the profiling job.<br />Note: GPU discovery is automatically attempted to detect GPU resources from Kubernetes<br />cluster nodes. If the operator has node read permissions (cluster-wide or explicitly granted),<br />discovered GPU configuration is used as defaults when hardware configuration is not manually<br />specified (minNumGpusPerEngine, maxNumGpusPerEngine, numGpusPerNode). User-specified values<br />always take precedence over auto-discovered values. If GPU discovery fails (e.g.,<br />namespace-restricted operator without node permissions), manual hardware config is required.<br />This configuration is passed directly to the profiler.<br />The structure matches the profile_sla config format exactly (see ProfilingConfigSpec for schema).<br />Note: deployment.model and engine.backend are automatically set from the high-level<br />modelName and backend fields and should not be specified in this config. |  | Required: \{\} <br /> |
| `enableGpuDiscovery` _boolean_ | EnableGPUDiscovery controls whether the operator attempts to discover GPU hardware from cluster nodes.<br />DEPRECATED: This field is deprecated and will be removed in v1beta1. GPU discovery is now always<br />attempted automatically. Setting this field has no effect - the operator will always try to discover<br />GPU hardware when node read permissions are available. If discovery is unavailable (e.g., namespace-scoped<br />operator without permissions), manual hardware configuration is required regardless of this setting. | true | Optional: \{\} <br /> |
| `autoApply` _boolean_ | AutoApply indicates whether to automatically create a DynamoGraphDeployment<br />after profiling completes. If false, only the spec is generated and stored in status.<br />Users can then manually create a DGD using the generated spec. | false |  |
| `deploymentOverrides` _[DeploymentOverridesSpec](#deploymentoverridesspec)_ | DeploymentOverrides allows customizing metadata for the auto-created DGD.<br />Only applicable when AutoApply is true. |  | Optional: \{\} <br /> |


#### DynamoGraphDeploymentRequestStatus



DynamoGraphDeploymentRequestStatus represents the observed state of a DynamoGraphDeploymentRequest.
The controller updates this status as the DGDR progresses through its lifecycle.



_Appears in:_
- [DynamoGraphDeploymentRequest](#dynamographdeploymentrequest)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `state` _[DGDRState](#dgdrstate)_ | State is a high-level textual status of the deployment request lifecycle. | Initializing | Enum: [Initializing Pending Profiling Deploying Ready DeploymentDeleted Failed] <br /> |
| `backend` _string_ | Backend is extracted from profilingConfig.config.engine.backend for display purposes.<br />This field is populated by the controller and shown in kubectl output. |  | Optional: \{\} <br /> |
| `observedGeneration` _integer_ | ObservedGeneration reflects the generation of the most recently observed spec.<br />Used to detect spec changes and enforce immutability after profiling starts. |  |  |
| `conditions` _[Condition](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#condition-v1-meta) array_ | Conditions contains the latest observed conditions of the deployment request.<br />Standard condition types include: Validation, Profiling, SpecGenerated, DeploymentReady.<br />Conditions are merged by type on patch updates. |  |  |
| `profilingResults` _string_ | ProfilingResults contains a reference to the ConfigMap holding profiling data.<br />Format: "configmap/\<name\>" |  | Optional: \{\} <br /> |
| `generatedDeployment` _[RawExtension](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#rawextension-runtime-pkg)_ | GeneratedDeployment contains the full generated DynamoGraphDeployment specification<br />including metadata, based on profiling results. Users can extract this to create<br />a DGD manually, or it's used automatically when autoApply is true.<br />Stored as RawExtension to preserve all fields including metadata.<br />For mocker backends, this contains the mocker DGD spec. |  | EmbeddedResource: \{\} <br />Optional: \{\} <br /> |
| `deployment` _[DeploymentStatus](#deploymentstatus)_ | Deployment tracks the auto-created DGD when AutoApply is true.<br />Contains name, namespace, state, and creation status of the managed DGD. |  | Optional: \{\} <br /> |


#### DynamoGraphDeploymentScalingAdapter



DynamoGraphDeploymentScalingAdapter provides a scaling interface for individual services
within a DynamoGraphDeployment. It implements the Kubernetes scale
subresource, enabling integration with HPA, KEDA, and custom autoscalers.

The adapter acts as an intermediary between autoscalers and the DGD,
ensuring that only the adapter controller modifies the DGD's service replicas.
This prevents conflicts when multiple autoscaling mechanisms are in play.





| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `apiVersion` _string_ | `nvidia.com/v1alpha1` | | |
| `kind` _string_ | `DynamoGraphDeploymentScalingAdapter` | | |
| `metadata` _[ObjectMeta](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#objectmeta-v1-meta)_ | Refer to Kubernetes API documentation for fields of `metadata`. |  |  |
| `spec` _[DynamoGraphDeploymentScalingAdapterSpec](#dynamographdeploymentscalingadapterspec)_ |  |  |  |
| `status` _[DynamoGraphDeploymentScalingAdapterStatus](#dynamographdeploymentscalingadapterstatus)_ |  |  |  |


#### DynamoGraphDeploymentScalingAdapterSpec



DynamoGraphDeploymentScalingAdapterSpec defines the desired state of DynamoGraphDeploymentScalingAdapter



_Appears in:_
- [DynamoGraphDeploymentScalingAdapter](#dynamographdeploymentscalingadapter)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `replicas` _integer_ | Replicas is the desired number of replicas for the target service.<br />This field is modified by external autoscalers (HPA/KEDA/Planner) or manually by users. |  | Minimum: 0 <br />Required: \{\} <br /> |
| `dgdRef` _[DynamoGraphDeploymentServiceRef](#dynamographdeploymentserviceref)_ | DGDRef references the DynamoGraphDeployment and the specific service to scale. |  | Required: \{\} <br /> |


#### DynamoGraphDeploymentScalingAdapterStatus



DynamoGraphDeploymentScalingAdapterStatus defines the observed state of DynamoGraphDeploymentScalingAdapter



_Appears in:_
- [DynamoGraphDeploymentScalingAdapter](#dynamographdeploymentscalingadapter)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `replicas` _integer_ | Replicas is the current number of replicas for the target service.<br />This is synced from the DGD's service replicas and is required for the scale subresource. |  | Optional: \{\} <br /> |
| `selector` _string_ | Selector is a label selector string for the pods managed by this adapter.<br />Required for HPA compatibility via the scale subresource. |  | Optional: \{\} <br /> |
| `lastScaleTime` _[Time](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#time-v1-meta)_ | LastScaleTime is the last time the adapter scaled the target service. |  | Optional: \{\} <br /> |


#### DynamoGraphDeploymentServiceRef



DynamoGraphDeploymentServiceRef identifies a specific service within a DynamoGraphDeployment



_Appears in:_
- [DynamoGraphDeploymentScalingAdapterSpec](#dynamographdeploymentscalingadapterspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `name` _string_ | Name of the DynamoGraphDeployment |  | MinLength: 1 <br />Required: \{\} <br /> |
| `serviceName` _string_ | ServiceName is the key name of the service within the DGD's spec.services map to scale |  | MinLength: 1 <br />Required: \{\} <br /> |


#### DynamoGraphDeploymentSpec



DynamoGraphDeploymentSpec defines the desired state of DynamoGraphDeployment.



_Appears in:_
- [DynamoGraphDeployment](#dynamographdeployment)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `pvcs` _[PVC](#pvc) array_ | PVCs defines a list of persistent volume claims that can be referenced by components.<br />Each PVC must have a unique name that can be referenced in component specifications. |  | MaxItems: 100 <br />Optional: \{\} <br /> |
| `services` _object (keys:string, values:[DynamoComponentDeploymentSharedSpec](#dynamocomponentdeploymentsharedspec))_ | Services are the services to deploy as part of this deployment. |  | MaxProperties: 25 <br />Optional: \{\} <br /> |
| `envs` _[EnvVar](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#envvar-v1-core) array_ | Envs are environment variables applied to all services in the deployment unless<br />overridden by service-specific configuration. |  | Optional: \{\} <br /> |
| `backendFramework` _string_ | BackendFramework specifies the backend framework (e.g., "sglang", "vllm", "trtllm"). |  | Enum: [sglang vllm trtllm] <br /> |
| `restart` _[Restart](#restart)_ | Restart specifies the restart policy for the graph deployment. |  | Optional: \{\} <br /> |


#### DynamoGraphDeploymentStatus



DynamoGraphDeploymentStatus defines the observed state of DynamoGraphDeployment.



_Appears in:_
- [DynamoGraphDeployment](#dynamographdeployment)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `observedGeneration` _integer_ | ObservedGeneration is the most recent generation observed by the controller. |  | Optional: \{\} <br /> |
| `state` _[DGDState](#dgdstate)_ | State is a high-level textual status of the graph deployment lifecycle. | initializing | Enum: [initializing pending successful failed] <br /> |
| `conditions` _[Condition](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#condition-v1-meta) array_ | Conditions contains the latest observed conditions of the graph deployment.<br />The slice is merged by type on patch updates. |  |  |
| `services` _object (keys:string, values:[ServiceReplicaStatus](#servicereplicastatus))_ | Services contains per-service replica status information.<br />The map key is the service name from spec.services. |  | Optional: \{\} <br /> |
| `restart` _[RestartStatus](#restartstatus)_ | Restart contains the status of the restart of the graph deployment. |  | Optional: \{\} <br /> |
| `checkpoints` _object (keys:string, values:[ServiceCheckpointStatus](#servicecheckpointstatus))_ | Checkpoints contains per-service checkpoint status information.<br />The map key is the service name from spec.services. |  | Optional: \{\} <br /> |
| `rollingUpdate` _[RollingUpdateStatus](#rollingupdatestatus)_ | RollingUpdate tracks the progress of operator manged rolling updates.<br />Currently only supported for singl-node, non-Grove deployments (DCD/Deployment). |  | Optional: \{\} <br /> |


#### DynamoModel



DynamoModel is the Schema for the dynamo models API





| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `apiVersion` _string_ | `nvidia.com/v1alpha1` | | |
| `kind` _string_ | `DynamoModel` | | |
| `metadata` _[ObjectMeta](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#objectmeta-v1-meta)_ | Refer to Kubernetes API documentation for fields of `metadata`. |  |  |
| `spec` _[DynamoModelSpec](#dynamomodelspec)_ |  |  |  |
| `status` _[DynamoModelStatus](#dynamomodelstatus)_ |  |  |  |


#### DynamoModelSpec



DynamoModelSpec defines the desired state of DynamoModel



_Appears in:_
- [DynamoModel](#dynamomodel)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `modelName` _string_ | ModelName is the full model identifier (e.g., "meta-llama/Llama-3.3-70B-Instruct-lora") |  | Required: \{\} <br /> |
| `baseModelName` _string_ | BaseModelName is the base model identifier that matches the service label<br />This is used to discover endpoints via headless services |  | Required: \{\} <br /> |
| `modelType` _string_ | ModelType specifies the type of model (e.g., "base", "lora", "adapter") | base | Enum: [base lora adapter] <br />Optional: \{\} <br /> |
| `source` _[ModelSource](#modelsource)_ | Source specifies the model source location (only applicable for lora model type) |  | Optional: \{\} <br /> |


#### DynamoModelStatus



DynamoModelStatus defines the observed state of DynamoModel



_Appears in:_
- [DynamoModel](#dynamomodel)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `endpoints` _[EndpointInfo](#endpointinfo) array_ | Endpoints is the current list of all endpoints for this model |  | Optional: \{\} <br /> |
| `readyEndpoints` _integer_ | ReadyEndpoints is the count of endpoints that are ready |  |  |
| `totalEndpoints` _integer_ | TotalEndpoints is the total count of endpoints |  |  |
| `conditions` _[Condition](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#condition-v1-meta) array_ | Conditions represents the latest available observations of the model's state |  | Optional: \{\} <br /> |


#### EPPConfig



EPPConfig contains configuration for EPP (Endpoint Picker Plugin) components.
EPP is responsible for intelligent endpoint selection and KV-aware routing.



_Appears in:_
- [DynamoComponentDeploymentSharedSpec](#dynamocomponentdeploymentsharedspec)
- [DynamoComponentDeploymentSpec](#dynamocomponentdeploymentspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `configMapRef` _[ConfigMapKeySelector](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#configmapkeyselector-v1-core)_ | ConfigMapRef references a user-provided ConfigMap containing EPP configuration.<br />The ConfigMap should contain EndpointPickerConfig YAML.<br />Mutually exclusive with Config. |  | Optional: \{\} <br /> |
| `config` _[EndpointPickerConfig](#endpointpickerconfig)_ | Config allows specifying EPP EndpointPickerConfig directly as a structured object.<br />The operator will marshal this to YAML and create a ConfigMap automatically.<br />Mutually exclusive with ConfigMapRef.<br />One of ConfigMapRef or Config must be specified (no default configuration).<br />Uses the upstream type from github.com/kubernetes-sigs/gateway-api-inference-extension |  | Type: object <br />Optional: \{\} <br /> |


#### EndpointInfo



EndpointInfo represents a single endpoint (pod) serving the model



_Appears in:_
- [DynamoModelStatus](#dynamomodelstatus)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `address` _string_ | Address is the full address of the endpoint (e.g., "http://10.0.1.5:9090") |  |  |
| `podName` _string_ | PodName is the name of the pod serving this endpoint |  | Optional: \{\} <br /> |
| `ready` _boolean_ | Ready indicates whether the endpoint is ready to serve traffic<br />For LoRA models: true if the POST /loras request succeeded with a 2xx status code<br />For base models: always false (no probing performed) |  |  |


#### ExtraPodMetadata







_Appears in:_
- [DynamoComponentDeploymentSharedSpec](#dynamocomponentdeploymentsharedspec)
- [DynamoComponentDeploymentSpec](#dynamocomponentdeploymentspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `annotations` _object (keys:string, values:string)_ |  |  |  |
| `labels` _object (keys:string, values:string)_ |  |  |  |


#### ExtraPodSpec







_Appears in:_
- [DynamoComponentDeploymentSharedSpec](#dynamocomponentdeploymentsharedspec)
- [DynamoComponentDeploymentSpec](#dynamocomponentdeploymentspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `mainContainer` _[Container](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#container-v1-core)_ |  |  |  |


#### IngressSpec







_Appears in:_
- [DynamoComponentDeploymentSharedSpec](#dynamocomponentdeploymentsharedspec)
- [DynamoComponentDeploymentSpec](#dynamocomponentdeploymentspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `enabled` _boolean_ | Enabled exposes the component through an ingress or virtual service when true. |  |  |
| `host` _string_ | Host is the base host name to route external traffic to this component. |  |  |
| `useVirtualService` _boolean_ | UseVirtualService indicates whether to configure a service-mesh VirtualService instead of a standard Ingress. |  |  |
| `virtualServiceGateway` _string_ | VirtualServiceGateway optionally specifies the gateway name to attach the VirtualService to. |  |  |
| `hostPrefix` _string_ | HostPrefix is an optional prefix added before the host. |  |  |
| `annotations` _object (keys:string, values:string)_ | Annotations to set on the generated Ingress/VirtualService resources. |  |  |
| `labels` _object (keys:string, values:string)_ | Labels to set on the generated Ingress/VirtualService resources. |  |  |
| `tls` _[IngressTLSSpec](#ingresstlsspec)_ | TLS holds the TLS configuration used by the Ingress/VirtualService. |  |  |
| `hostSuffix` _string_ | HostSuffix is an optional suffix appended after the host. |  |  |
| `ingressControllerClassName` _string_ | IngressControllerClassName selects the ingress controller class (e.g., "nginx"). |  |  |


#### IngressTLSSpec







_Appears in:_
- [IngressSpec](#ingressspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `secretName` _string_ | SecretName is the name of a Kubernetes Secret containing the TLS certificate and key. |  |  |




#### ModelReference



ModelReference identifies a model served by this component



_Appears in:_
- [DynamoComponentDeploymentSharedSpec](#dynamocomponentdeploymentsharedspec)
- [DynamoComponentDeploymentSpec](#dynamocomponentdeploymentspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `name` _string_ | Name is the base model identifier (e.g., "llama-3-70b-instruct-v1") |  | Required: \{\} <br /> |
| `revision` _string_ | Revision is the model revision/version (optional) |  | Optional: \{\} <br /> |


#### ModelSource



ModelSource defines the source location of a model



_Appears in:_
- [DynamoModelSpec](#dynamomodelspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `uri` _string_ | URI is the model source URI<br />Supported formats:<br />- S3: s3://bucket/path/to/model<br />- HuggingFace: hf://org/model@revision_sha |  | Required: \{\} <br /> |


#### MultinodeSpec







_Appears in:_
- [DynamoComponentDeploymentSharedSpec](#dynamocomponentdeploymentsharedspec)
- [DynamoComponentDeploymentSpec](#dynamocomponentdeploymentspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `nodeCount` _integer_ | Indicates the number of nodes to deploy for multinode components.<br />Total number of GPUs is NumberOfNodes * GPU limit.<br />Must be greater than 1. | 2 | Minimum: 2 <br /> |


#### PVC







_Appears in:_
- [DynamoGraphDeploymentSpec](#dynamographdeploymentspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `create` _boolean_ | Create indicates to create a new PVC |  |  |
| `name` _string_ | Name is the name of the PVC |  | Required: \{\} <br /> |
| `storageClass` _string_ | StorageClass to be used for PVC creation. Required when create is true. |  |  |
| `size` _[Quantity](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#quantity-resource-api)_ | Size of the volume in Gi, used during PVC creation. Required when create is true. |  |  |
| `volumeAccessMode` _[PersistentVolumeAccessMode](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#persistentvolumeaccessmode-v1-core)_ | VolumeAccessMode is the volume access mode of the PVC. Required when create is true. |  |  |


#### ProfilingConfigSpec



ProfilingConfigSpec defines configuration for the profiling process.
This structure maps directly to the profile_sla.py config format.
See dynamo/profiler/utils/profiler_argparse.py for the complete schema.



_Appears in:_
- [DynamoGraphDeploymentRequestSpec](#dynamographdeploymentrequestspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `config` _[JSON](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#json-v1-apiextensions-k8s-io)_ | Config is the profiling configuration as arbitrary JSON/YAML. This will be passed directly to the profiler.<br />The profiler will validate the configuration and report any errors. |  | Optional: \{\} <br />Type: object <br /> |
| `configMapRef` _[ConfigMapKeySelector](#configmapkeyselector)_ | ConfigMapRef is an optional reference to a ConfigMap containing the DynamoGraphDeployment<br />base config file (disagg.yaml). This is separate from the profiling config above.<br />The path to this config will be set as engine.config in the profiling config. |  | Optional: \{\} <br /> |
| `profilerImage` _string_ | ProfilerImage specifies the container image to use for profiling jobs.<br />This image contains the profiler code and dependencies needed for SLA-based profiling.<br />Example: "nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.6.1" |  | Required: \{\} <br /> |
| `outputPVC` _string_ | OutputPVC is an optional PersistentVolumeClaim name for storing profiling output.<br />If specified, all profiling artifacts (logs, plots, configs, raw data) will be written<br />to this PVC instead of an ephemeral emptyDir volume. This allows users to access<br />complete profiling results after the job completes by mounting the PVC.<br />The PVC must exist in the same namespace as the DGDR.<br />If not specified, profiling uses emptyDir and only essential data is saved to ConfigMaps.<br />Note: ConfigMaps are still created regardless of this setting for planner integration. |  | Optional: \{\} <br /> |
| `resources` _[ResourceRequirements](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#resourcerequirements-v1-core)_ | Resources specifies the compute resource requirements for the profiling job container.<br />If not specified, no resource requests or limits are set. |  | Optional: \{\} <br /> |
| `tolerations` _[Toleration](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#toleration-v1-core) array_ | Tolerations allows the profiling job to be scheduled on nodes with matching taints.<br />For example, to schedule on GPU nodes, add a toleration for the nvidia.com/gpu taint. |  | Optional: \{\} <br /> |
| `nodeSelector` _object (keys:string, values:string)_ | NodeSelector is a selector which must match a node's labels for the profiling pod to be scheduled on that node.<br />For example, to schedule on ARM64 nodes, use \{"kubernetes.io/arch": "arm64"\}. |  | Optional: \{\} <br /> |


#### ResourceItem







_Appears in:_
- [Resources](#resources)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `cpu` _string_ | CPU specifies the CPU resource request/limit (e.g., "1000m", "2") |  |  |
| `memory` _string_ | Memory specifies the memory resource request/limit (e.g., "4Gi", "8Gi") |  |  |
| `gpu` _string_ | GPU indicates the number of GPUs to request.<br />Total number of GPUs is NumberOfNodes * GPU in case of multinode deployment. |  |  |
| `gpuType` _string_ | GPUType can specify a custom GPU type, e.g. "gpu.intel.com/xe"<br />By default if not specified, the GPU type is "nvidia.com/gpu" |  |  |
| `custom` _object (keys:string, values:string)_ | Custom specifies additional custom resource requests/limits |  |  |


#### Resources



Resources defines requested and limits for a component, including CPU, memory,
GPUs/devices, and any runtime-specific resources.



_Appears in:_
- [DynamoComponentDeploymentSharedSpec](#dynamocomponentdeploymentsharedspec)
- [DynamoComponentDeploymentSpec](#dynamocomponentdeploymentspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `requests` _[ResourceItem](#resourceitem)_ | Requests specifies the minimum resources required by the component |  |  |
| `limits` _[ResourceItem](#resourceitem)_ | Limits specifies the maximum resources allowed for the component |  |  |
| `claims` _[ResourceClaim](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#resourceclaim-v1-core) array_ | Claims specifies resource claims for dynamic resource allocation |  |  |


#### Restart







_Appears in:_
- [DynamoGraphDeploymentSpec](#dynamographdeploymentspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `id` _string_ | ID is an arbitrary string that triggers a restart when changed.<br />Any modification to this value will initiate a restart of the graph deployment according to the strategy. |  | MinLength: 1 <br />Required: \{\} <br /> |
| `strategy` _[RestartStrategy](#restartstrategy)_ | Strategy specifies the restart strategy for the graph deployment. |  | Optional: \{\} <br /> |


#### RestartPhase

_Underlying type:_ _string_





_Appears in:_
- [RestartStatus](#restartstatus)

| Field | Description |
| --- | --- |
| `Pending` |  |
| `Restarting` |  |
| `Completed` |  |
| `Failed` |  |
| `Superseded` |  |


#### RestartStatus



RestartStatus contains the status of the restart of the graph deployment.



_Appears in:_
- [DynamoGraphDeploymentStatus](#dynamographdeploymentstatus)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `observedID` _string_ | ObservedID is the restart ID that has been observed and is being processed.<br />Matches the Restart.ID field in the spec. |  |  |
| `phase` _[RestartPhase](#restartphase)_ | Phase is the phase of the restart. |  |  |
| `inProgress` _string array_ | InProgress contains the names of the services that are currently being restarted. |  | Optional: \{\} <br /> |


#### RestartStrategy







_Appears in:_
- [Restart](#restart)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `type` _[RestartStrategyType](#restartstrategytype)_ | Type specifies the restart strategy type. | Sequential | Enum: [Sequential Parallel] <br /> |
| `order` _string array_ | Order specifies the order in which the services should be restarted. |  | Optional: \{\} <br /> |


#### RestartStrategyType

_Underlying type:_ _string_





_Appears in:_
- [RestartStrategy](#restartstrategy)

| Field | Description |
| --- | --- |
| `Sequential` |  |
| `Parallel` |  |


#### RollingUpdatePhase

_Underlying type:_ _string_

RollingUpdatePhase represents the current phase of a rolling update.

_Validation:_
- Enum: [Pending InProgress Completed Failed ]

_Appears in:_
- [RollingUpdateStatus](#rollingupdatestatus)

| Field | Description |
| --- | --- |
| `Pending` |  |
| `InProgress` |  |
| `Completed` |  |
| `` |  |


#### RollingUpdateStatus



RollingUpdateStatus tracks the progress of a rolling update.



_Appears in:_
- [DynamoGraphDeploymentStatus](#dynamographdeploymentstatus)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `phase` _[RollingUpdatePhase](#rollingupdatephase)_ | Phase indicates the current phase of the rolling update. |  | Enum: [Pending InProgress Completed Failed ] <br />Optional: \{\} <br /> |
| `startTime` _[Time](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#time-v1-meta)_ | StartTime is when the rolling update began. |  | Optional: \{\} <br /> |
| `endTime` _[Time](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#time-v1-meta)_ | EndTime is when the rolling update completed (successfully or failed). |  | Optional: \{\} <br /> |
| `updatedServices` _string array_ | UpdatedServices is the list of services that have completed the rolling update.<br />A service is considered updated when its new replicas are all ready and old replicas are fully scaled down.<br />Only services of componentType Worker (or Prefill/Decode) are considered. |  | Optional: \{\} <br /> |


#### ScalingAdapter



ScalingAdapter configures whether a service uses the DynamoGraphDeploymentScalingAdapter
for replica management. When enabled, the DGDSA owns the replicas field and
external autoscalers (HPA, KEDA, Planner) can control scaling via the Scale subresource.



_Appears in:_
- [DynamoComponentDeploymentSharedSpec](#dynamocomponentdeploymentsharedspec)
- [DynamoComponentDeploymentSpec](#dynamocomponentdeploymentspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `enabled` _boolean_ | Enabled indicates whether the ScalingAdapter should be enabled for this service.<br />When true, a DGDSA is created and owns the replicas field.<br />When false (default), no DGDSA is created and replicas can be modified directly in the DGD. | false | Optional: \{\} <br /> |


#### ServiceCheckpointConfig



ServiceCheckpointConfig configures checkpointing for a DGD service



_Appears in:_
- [DynamoComponentDeploymentSharedSpec](#dynamocomponentdeploymentsharedspec)
- [DynamoComponentDeploymentSpec](#dynamocomponentdeploymentspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `enabled` _boolean_ | Enabled indicates whether checkpointing is enabled for this service | false | Optional: \{\} <br /> |
| `mode` _[CheckpointMode](#checkpointmode)_ | Mode defines how checkpoint creation is handled<br />- Auto: DGD controller creates Checkpoint CR automatically<br />- Manual: User must create Checkpoint CR | Auto | Enum: [Auto Manual] <br />Optional: \{\} <br /> |
| `checkpointRef` _string_ | CheckpointRef references an existing Checkpoint CR to use<br />If specified, Identity is ignored and this checkpoint is used directly |  | Optional: \{\} <br /> |
| `identity` _[DynamoCheckpointIdentity](#dynamocheckpointidentity)_ | Identity defines the checkpoint identity for hash computation<br />Used when Mode is Auto or when looking up existing checkpoints<br />Required when checkpointRef is not specified |  | Optional: \{\} <br /> |


#### ServiceCheckpointStatus



ServiceCheckpointStatus contains checkpoint information for a single service.



_Appears in:_
- [DynamoGraphDeploymentStatus](#dynamographdeploymentstatus)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `checkpointName` _string_ | CheckpointName is the name of the associated Checkpoint CR |  | Optional: \{\} <br /> |
| `identityHash` _string_ | IdentityHash is the computed hash of the checkpoint identity |  | Optional: \{\} <br /> |
| `ready` _boolean_ | Ready indicates if the checkpoint is ready for use |  | Optional: \{\} <br /> |


#### ServiceReplicaStatus



ServiceReplicaStatus contains replica information for a single service.



_Appears in:_
- [DynamoGraphDeploymentStatus](#dynamographdeploymentstatus)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `componentKind` _[ComponentKind](#componentkind)_ | ComponentKind is the underlying resource kind (e.g., "PodClique", "PodCliqueScalingGroup", "Deployment", "LeaderWorkerSet"). |  | Enum: [PodClique PodCliqueScalingGroup Deployment LeaderWorkerSet] <br /> |
| `componentName` _string_ | ComponentName is the name of the primary underlying resource.<br />DEPRECATED: Use ComponentNames instead. This field will be removed in a future release.<br />During rolling updates, this reflects the new (target) component name. |  |  |
| `componentNames` _string array_ | ComponentNames is the list of underlying resource names for this service.<br />During normal operation, this contains a single name.<br />During rolling updates, this contains both old and new component names. |  | Optional: \{\} <br /> |
| `replicas` _integer_ | Replicas is the total number of non-terminated replicas.<br />Required for all component kinds. |  | Minimum: 0 <br /> |
| `updatedReplicas` _integer_ | UpdatedReplicas is the number of replicas at the current/desired revision.<br />Required for all component kinds. |  | Minimum: 0 <br /> |
| `readyReplicas` _integer_ | ReadyReplicas is the number of ready replicas.<br />Populated for PodClique, Deployment, and LeaderWorkerSet.<br />Not available for PodCliqueScalingGroup.<br />When nil, the field is omitted from the API response. |  | Minimum: 0 <br />Optional: \{\} <br /> |
| `availableReplicas` _integer_ | AvailableReplicas is the number of available replicas.<br />For Deployment: replicas ready for >= minReadySeconds.<br />For PodCliqueScalingGroup: replicas where all constituent PodCliques have >= MinAvailable ready pods.<br />Not available for PodClique or LeaderWorkerSet.<br />When nil, the field is omitted from the API response. |  | Minimum: 0 <br />Optional: \{\} <br /> |


#### SharedMemorySpec







_Appears in:_
- [DynamoComponentDeploymentSharedSpec](#dynamocomponentdeploymentsharedspec)
- [DynamoComponentDeploymentSpec](#dynamocomponentdeploymentspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `disabled` _boolean_ |  |  |  |
| `size` _[Quantity](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#quantity-resource-api)_ |  |  |  |


#### VolumeMount



VolumeMount references a PVC defined at the top level for volumes to be mounted by the component



_Appears in:_
- [DynamoComponentDeploymentSharedSpec](#dynamocomponentdeploymentsharedspec)
- [DynamoComponentDeploymentSpec](#dynamocomponentdeploymentspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `name` _string_ | Name references a PVC name defined in the top-level PVCs map |  | Required: \{\} <br /> |
| `mountPoint` _string_ | MountPoint specifies where to mount the volume.<br />If useAsCompilationCache is true and mountPoint is not specified,<br />a backend-specific default will be used. |  |  |
| `useAsCompilationCache` _boolean_ | UseAsCompilationCache indicates this volume should be used as a compilation cache.<br />When true, backend-specific environment variables will be set and default mount points may be used. | false |  |



## nvidia.com/v1beta1

Package v1beta1 contains API Schema definitions for the nvidia.com v1beta1 API group.

### Resource Types
- [DynamoGraphDeploymentRequest](#v1beta1-dynamographdeploymentrequest)



#### BackendType

_Underlying type:_ _string_

BackendType specifies the inference backend.

_Validation:_
- Enum: [auto sglang trtllm vllm]

_Appears in:_
- [DynamoGraphDeploymentRequestSpec](#v1beta1-dynamographdeploymentrequestspec)

| Field | Description |
| --- | --- |
| `auto` |  |
| `sglang` |  |
| `trtllm` |  |
| `vllm` |  |


#### DGDRPhase

_Underlying type:_ _string_

DGDRPhase represents the lifecycle phase of a DynamoGraphDeploymentRequest.

_Validation:_
- Enum: [Pending Profiling Ready Deploying Deployed Failed]

_Appears in:_
- [DynamoGraphDeploymentRequestStatus](#v1beta1-dynamographdeploymentrequeststatus)

| Field | Description |
| --- | --- |
| `Pending` |  |
| `Profiling` |  |
| `Ready` |  |
| `Deploying` |  |
| `Deployed` |  |
| `Failed` |  |


#### DeploymentInfoStatus



DeploymentInfoStatus tracks the state of the deployed DynamoGraphDeployment.



_Appears in:_
- [DynamoGraphDeploymentRequestStatus](#v1beta1-dynamographdeploymentrequeststatus)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `replicas` _integer_ | Replicas is the desired number of replicas. |  | Optional: \{\} <br /> |
| `availableReplicas` _integer_ | AvailableReplicas is the number of replicas that are available and ready. |  | Optional: \{\} <br /> |


#### v1beta1 DynamoGraphDeploymentRequest



DynamoGraphDeploymentRequest is the Schema for the dynamographdeploymentrequests API.
It provides a simplified, SLA-driven interface for deploying inference models on Dynamo.
Users specify a model and optional performance targets; the controller handles profiling,
configuration selection, and deployment.

Lifecycle:
 1. Pending: Spec validated, preparing for profiling
 2. Profiling: Profiling job is running to discover optimal configurations
 3. Ready: Profiling complete, generated DGD spec available in status
 4. Deploying: DGD is being created and rolled out (when autoApply=true)
 5. Deployed: DGD is running and healthy
 6. Failed: An unrecoverable error occurred





| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `apiVersion` _string_ | `nvidia.com/v1beta1` | | |
| `kind` _string_ | `DynamoGraphDeploymentRequest` | | |
| `metadata` _[ObjectMeta](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#objectmeta-v1-meta)_ | Refer to Kubernetes API documentation for fields of `metadata`. |  |  |
| `spec` _[DynamoGraphDeploymentRequestSpec](#v1beta1-dynamographdeploymentrequestspec)_ | Spec defines the desired state for this deployment request. |  |  |
| `status` _[DynamoGraphDeploymentRequestStatus](#v1beta1-dynamographdeploymentrequeststatus)_ | Status reflects the current observed state of this deployment request. |  |  |


#### v1beta1 DynamoGraphDeploymentRequestSpec



DynamoGraphDeploymentRequestSpec defines the desired state of a DynamoGraphDeploymentRequest.
Only the Model field is required; all other fields are optional and have sensible defaults.



_Appears in:_
- [DynamoGraphDeploymentRequest](#v1beta1-dynamographdeploymentrequest)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `model` _string_ | Model specifies the model to deploy (e.g., "Qwen/Qwen3-0.6B", "meta-llama/Llama-3-70b").<br />Can be a HuggingFace ID or a private model name. |  | MinLength: 1 <br />Required: \{\} <br /> |
| `backend` _[BackendType](#backendtype)_ | Backend specifies the inference backend to use for profiling and deployment. | auto | Enum: [auto sglang trtllm vllm] <br />Optional: \{\} <br /> |
| `image` _string_ | Image is the container image reference for the profiling job (frontend image).<br />Example: "nvcr.io/nvidia/dynamo-runtime:latest"<br />backend type automatically; backend images can be overridden via overrides.dgd. |  | Optional: \{\} <br /> |
| `modelCache` _[ModelCacheSpec](#modelcachespec)_ | ModelCache provides optional PVC configuration for pre-downloaded model weights.<br />When provided, weights are loaded from the PVC instead of downloading from HuggingFace. |  | Optional: \{\} <br /> |
| `hardware` _[HardwareSpec](#hardwarespec)_ | Hardware describes the hardware resources available for profiling and deployment.<br />Typically auto-filled by the operator from cluster discovery. |  | Optional: \{\} <br /> |
| `workload` _[WorkloadSpec](#workloadspec)_ | Workload defines the expected workload characteristics for SLA-based profiling. |  | Optional: \{\} <br /> |
| `sla` _[SLASpec](#slaspec)_ | SLA defines service-level agreement targets that drive profiling optimization. |  | Optional: \{\} <br /> |
| `overrides` _[OverridesSpec](#overridesspec)_ | Overrides allows customizing the profiling job and the generated DynamoGraphDeployment. |  | Optional: \{\} <br /> |
| `features` _[FeaturesSpec](#featuresspec)_ | Features controls optional Dynamo platform features in the generated deployment. |  | Optional: \{\} <br /> |
| `searchStrategy` _[SearchStrategy](#searchstrategy)_ | SearchStrategy controls the profiling search depth.<br />"rapid" performs a fast sweep; "thorough" explores more configurations. | rapid | Enum: [rapid thorough] <br />Optional: \{\} <br /> |
| `autoApply` _boolean_ | AutoApply indicates whether to automatically create a DynamoGraphDeployment<br />after profiling completes. If false, the generated spec is stored in status<br />for manual review and application. | true | Optional: \{\} <br /> |


#### v1beta1 DynamoGraphDeploymentRequestStatus



DynamoGraphDeploymentRequestStatus represents the observed state of a DynamoGraphDeploymentRequest.



_Appears in:_
- [DynamoGraphDeploymentRequest](#v1beta1-dynamographdeploymentrequest)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `phase` _[DGDRPhase](#dgdrphase)_ | Phase is the high-level lifecycle phase of the deployment request. |  | Enum: [Pending Profiling Ready Deploying Deployed Failed] <br />Optional: \{\} <br /> |
| `profilingPhase` _[ProfilingPhase](#profilingphase)_ | ProfilingPhase indicates the current sub-phase of the profiling pipeline.<br />Only meaningful when Phase is "Profiling". Cleared when profiling completes or fails. |  | Enum: [Initializing SweepingPrefill SweepingDecode SelectingConfig BuildingCurves GeneratingDGD Done] <br />Optional: \{\} <br /> |
| `dgdName` _string_ | DGDName is the name of the generated or created DynamoGraphDeployment. |  | Optional: \{\} <br /> |
| `profilingJobName` _string_ | ProfilingJobName is the name of the Kubernetes Job running the profiler. |  | Optional: \{\} <br /> |
| `conditions` _[Condition](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#condition-v1-meta) array_ | Conditions contains the latest observed conditions of the deployment request.<br />Standard condition types include: Validated, ProfilingComplete, DeploymentReady. |  | Optional: \{\} <br /> |
| `profilingResults` _[ProfilingResultsStatus](#profilingresultsstatus)_ | ProfilingResults contains the output of the profiling process including<br />Pareto-optimal configurations and the selected deployment configuration. |  | Optional: \{\} <br /> |
| `deploymentInfo` _[DeploymentInfoStatus](#deploymentinfostatus)_ | DeploymentInfo tracks the state of the deployed DynamoGraphDeployment.<br />Populated when a DGD has been created (either via autoApply or manually). |  | Optional: \{\} <br /> |
| `observedGeneration` _integer_ | ObservedGeneration is the most recent generation observed by the controller. |  | Optional: \{\} <br /> |


#### FeaturesSpec



FeaturesSpec controls optional Dynamo platform features in the generated deployment.



_Appears in:_
- [DynamoGraphDeploymentRequestSpec](#v1beta1-dynamographdeploymentrequestspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `planner` _[RawExtension](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#rawextension-runtime-pkg)_ | Planner is the raw SLA planner configuration passed to the planner service.<br />Its schema is defined by dynamo.planner.utils.planner_config.PlannerConfig.<br />Go treats this as opaque bytes; the Planner service validates it at startup.<br />The presence of this field (non-null) enables the planner in the generated DGD. |  | Type: object <br />Optional: \{\} <br /> |
| `mocker` _[MockerSpec](#mockerspec)_ | Mocker configures the simulated (mocker) backend for testing without GPUs. |  | Optional: \{\} <br /> |


#### HardwareSpec



HardwareSpec describes the hardware resources available for profiling and deployment.
These fields are typically auto-filled by the operator from cluster discovery.



_Appears in:_
- [DynamoGraphDeploymentRequestSpec](#v1beta1-dynamographdeploymentrequestspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `gpuSku` _string_ | GPUSKU is the GPU SKU identifier (e.g., "H100_SXM", "A100_80GB"). |  | Optional: \{\} <br /> |
| `vramMb` _float_ | VRAMMB is the VRAM per GPU in MiB. |  | Optional: \{\} <br /> |
| `totalGpus` _integer_ | TotalGPUs is the total number of GPUs available in the cluster. |  | Optional: \{\} <br /> |
| `numGpusPerNode` _integer_ | NumGPUsPerNode is the number of GPUs per node. |  | Optional: \{\} <br /> |




#### MockerSpec



MockerSpec configures the simulated (mocker) backend.



_Appears in:_
- [FeaturesSpec](#featuresspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `enabled` _boolean_ | Enabled indicates whether to deploy mocker workers instead of real inference workers.<br />Useful for large-scale testing without GPUs. |  | Optional: \{\} <br /> |


#### ModelCacheSpec



ModelCacheSpec references a PVC containing pre-downloaded model weights.



_Appears in:_
- [DynamoGraphDeploymentRequestSpec](#v1beta1-dynamographdeploymentrequestspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `pvcName` _string_ | PVCName is the name of the PersistentVolumeClaim containing model weights.<br />The PVC must exist in the same namespace as the DGDR. |  | Optional: \{\} <br /> |
| `pvcModelPath` _string_ | PVCModelPath is the path to the model checkpoint directory within the PVC<br />(e.g. "deepseek-r1" or "models/Llama-3.1-405B-FP8"). |  | Optional: \{\} <br /> |
| `pvcMountPath` _string_ | PVCMountPath is the mount path for the PVC inside the container. | /opt/model-cache | Optional: \{\} <br /> |


#### OptimizationType

_Underlying type:_ _string_

OptimizationType specifies the profiling optimization strategy.

_Validation:_
- Enum: [latency throughput]

_Appears in:_
- [SLASpec](#slaspec)

| Field | Description |
| --- | --- |
| `latency` |  |
| `throughput` |  |


#### OverridesSpec



OverridesSpec allows customizing the profiling job and the generated DynamoGraphDeployment.



_Appears in:_
- [DynamoGraphDeploymentRequestSpec](#v1beta1-dynamographdeploymentrequestspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `profilingJob` _[JobSpec](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#jobspec-v1-batch)_ | ProfilingJob allows overriding the profiling Job specification.<br />Fields set here are merged into the controller-generated Job spec. |  | Optional: \{\} <br /> |
| `dgd` _[RawExtension](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#rawextension-runtime-pkg)_ | DGD allows providing a full or partial nvidia.com/v1alpha1 DynamoGraphDeployment<br />to use as the base for the generated deployment. Fields from profiling results<br />are merged on top. Use this to override backend worker images.<br />The field is stored as a raw embedded resource rather than a typed<br />*v1alpha1.DynamoGraphDeployment to avoid a circular import: v1alpha1 already<br />imports v1beta1 as the conversion hub and Go does not allow import cycles.<br />The EmbeddedResource marker tells the API server to validate that the value is a<br />well-formed Kubernetes object (has apiVersion/kind), but does not enforce that it<br />is specifically a DynamoGraphDeployment. Full type validation (correct apiVersion,<br />kind, and field schema) is performed by the controller during reconciliation. |  | EmbeddedResource: \{\} <br />Optional: \{\} <br /> |


#### ParetoConfig



ParetoConfig represents a single Pareto-optimal deployment configuration
discovered during profiling.



_Appears in:_
- [ProfilingResultsStatus](#profilingresultsstatus)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `config` _[RawExtension](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#rawextension-runtime-pkg)_ | Config is the full deployment configuration for this Pareto point. |  | Type: object <br /> |


#### ProfilingPhase

_Underlying type:_ _string_

ProfilingPhase represents a sub-phase within the profiling pipeline.
When the DGDR Phase is "Profiling", this value indicates which step
of the profiling pipeline is currently executing.

_Validation:_
- Enum: [Initializing SweepingPrefill SweepingDecode SelectingConfig BuildingCurves GeneratingDGD Done]

_Appears in:_
- [DynamoGraphDeploymentRequestStatus](#v1beta1-dynamographdeploymentrequeststatus)

| Field | Description |
| --- | --- |
| `Initializing` | Profiler is loading the DGD template, detecting GPU hardware,<br />and resolving the model architecture from HuggingFace.<br /> |
| `SweepingPrefill` | Sweeping parallelization strategies (TP/TEP/DEP) across GPU counts<br />for prefill, measuring TTFT at each configuration.<br /> |
| `SweepingDecode` | Sweeping parallelization strategies and concurrency levels<br />for decode, measuring ITL at each configuration.<br /> |
| `SelectingConfig` | Filtering results against SLA targets and selecting the most<br />cost-efficient configuration that meets TTFT/ITL requirements.<br /> |
| `BuildingCurves` | Building detailed interpolation curves (ISL→TTFT for prefill,<br />KV-usage×context-length→ITL for decode) using the selected configs.<br /> |
| `GeneratingDGD` | Packaging profiling data into a ConfigMap and generating<br />the final DGD YAML with planner integration.<br /> |
| `Done` | Profiling pipeline finished successfully.<br /> |


#### ProfilingResultsStatus



ProfilingResultsStatus contains the output of the profiling process.



_Appears in:_
- [DynamoGraphDeploymentRequestStatus](#v1beta1-dynamographdeploymentrequeststatus)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `pareto` _[ParetoConfig](#paretoconfig) array_ | Pareto is the list of Pareto-optimal deployment configurations discovered during profiling.<br />Each entry represents a different cost/performance trade-off. |  | Optional: \{\} <br /> |
| `selectedConfig` _[RawExtension](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.28/#rawextension-runtime-pkg)_ | SelectedConfig is the recommended configuration chosen by the profiler<br />based on the SLA targets. This is the configuration used for deployment<br />when autoApply is true. |  | Type: object <br />Optional: \{\} <br /> |


#### SLASpec



SLASpec defines the service-level agreement targets for profiling optimization.
Exactly one mode should be active: ttft+itl (default), e2eLatency, or optimizationType.



_Appears in:_
- [DynamoGraphDeploymentRequestSpec](#v1beta1-dynamographdeploymentrequestspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `optimizationType` _[OptimizationType](#optimizationtype)_ | OptimizationType controls the profiling optimization strategy.<br />Use when explicit SLA targets (ttft+itl or e2eLatency) are not known. |  | Enum: [latency throughput] <br />Optional: \{\} <br /> |
| `ttft` _float_ | TTFT is the Time To First Token target in milliseconds. |  | Optional: \{\} <br /> |
| `itl` _float_ | ITL is the Inter-Token Latency target in milliseconds. |  | Optional: \{\} <br /> |
| `e2eLatency` _float_ | E2ELatency is the target end-to-end request latency in milliseconds.<br />Alternative to specifying TTFT + ITL. |  | Optional: \{\} <br /> |


#### SearchStrategy

_Underlying type:_ _string_

SearchStrategy controls the profiling search depth.

_Validation:_
- Enum: [rapid thorough]

_Appears in:_
- [DynamoGraphDeploymentRequestSpec](#v1beta1-dynamographdeploymentrequestspec)

| Field | Description |
| --- | --- |
| `rapid` |  |
| `thorough` |  |


#### WorkloadSpec



WorkloadSpec defines the workload characteristics for SLA-based profiling.



_Appears in:_
- [DynamoGraphDeploymentRequestSpec](#v1beta1-dynamographdeploymentrequestspec)

| Field | Description | Default | Validation |
| --- | --- | --- | --- |
| `isl` _integer_ | ISL is the Input Sequence Length (number of tokens). | 4000 | Optional: \{\} <br /> |
| `osl` _integer_ | OSL is the Output Sequence Length (number of tokens). | 1000 | Optional: \{\} <br /> |
| `concurrency` _float_ | Concurrency is the target concurrency level.<br />Required (or RequestRate) when the planner is disabled. |  | Optional: \{\} <br /> |
| `requestRate` _float_ | RequestRate is the target request rate (req/s).<br />Required (or Concurrency) when the planner is disabled. |  | Optional: \{\} <br /> |


# Operator Default Values Injection

The Dynamo operator automatically applies default values to various fields when they are not explicitly specified in your deployments. These defaults include:

- **Health Probes**: Startup, liveness, and readiness probes are configured differently for frontend, worker, and planner components. For example, worker components receive a startup probe with a 2-hour timeout (720 failures × 10 seconds) to accommodate long model loading times.

- **Security Context**: All components receive `fsGroup: 1000` by default to ensure proper file permissions for mounted volumes. This can be overridden via the `extraPodSpec.securityContext` field.

- **Shared Memory**: All components receive an 8Gi shared memory volume mounted at `/dev/shm` by default (can be disabled or resized via the `sharedMemory` field).

- **Environment Variables**: Components automatically receive environment variables like `DYN_NAMESPACE`, `DYN_PARENT_DGD_K8S_NAME`, `DYNAMO_PORT`, and backend-specific variables.

- **Pod Configuration**: Default `terminationGracePeriodSeconds` of 60 seconds and `restartPolicy: Always`.

- **Autoscaling**: When enabled without explicit metrics, defaults to CPU-based autoscaling with 80% target utilization.

- **Backend-Specific Behavior**: For multinode deployments, probes are automatically modified or removed for worker nodes depending on the backend framework (VLLM, SGLang, or TensorRT-LLM).

## Pod Specification Defaults

All components receive the following pod-level defaults unless overridden:

- **`terminationGracePeriodSeconds`**: `60` seconds
- **`restartPolicy`**: `Always`

## Security Context

The operator automatically applies default security context settings to all components to ensure proper file permissions, particularly for mounted volumes:

- **`fsGroup`**: `1000` - Sets the group ownership of mounted volumes and any files created in those volumes

This default ensures that non-root containers can write to mounted volumes (like model caches or persistent storage) without permission issues. The `fsGroup` setting is particularly important for:
- Model downloads and caching
- Compilation cache directories
- Persistent volume claims (PVCs)
- SSH key generation in multinode deployments

### Overriding Security Context

To override the default security context, specify your own `securityContext` in the `extraPodSpec` of your component:

```yaml
services:
  YourWorker:
    extraPodSpec:
      securityContext:
        fsGroup: 2000  # Custom group ID
        runAsUser: 1000
        runAsGroup: 1000
        runAsNonRoot: true
```

**Important**: When you provide *any* `securityContext` object in `extraPodSpec`, the operator will not inject any defaults. This gives you complete control over the security context, including the ability to run as root (by omitting `runAsNonRoot` or setting it to `false`).

### OpenShift and Security Context Constraints

In OpenShift environments with Security Context Constraints (SCCs), you may need to omit explicit UID/GID values to allow OpenShift's admission controllers to assign them dynamically:

```yaml
services:
  YourWorker:
    extraPodSpec:
      securityContext:
        # Omit fsGroup to let OpenShift assign it based on SCC
        # OpenShift will inject the appropriate UID range
```

Alternatively, if you want to keep the default `fsGroup: 1000` behavior and are certain your cluster allows it, you don't need to specify anything - the operator defaults will work.

## Shared Memory Configuration

Shared memory is enabled by default for all components:

- **Enabled**: `true` (unless explicitly disabled via `sharedMemory.disabled`)
- **Size**: `8Gi`
- **Mount Path**: `/dev/shm`
- **Volume Type**: `emptyDir` with `memory` medium

To disable shared memory or customize the size, use the `sharedMemory` field in your component specification.

## Health Probes by Component Type

The operator applies different default health probes based on the component type.

### Frontend Components

Frontend components receive the following probe configurations:

**Liveness Probe:**
- **Type**: HTTP GET
- **Path**: `/health`
- **Port**: `http` (8000)
- **Initial Delay**: 60 seconds
- **Period**: 60 seconds
- **Timeout**: 30 seconds
- **Failure Threshold**: 10

**Readiness Probe:**
- **Type**: Exec command
- **Command**: `curl -s http://localhost:${DYNAMO_PORT}/health | jq -e ".status == \"healthy\""`
- **Initial Delay**: 60 seconds
- **Period**: 60 seconds
- **Timeout**: 30 seconds
- **Failure Threshold**: 10

### Worker Components

Worker components receive the following probe configurations:

**Liveness Probe:**
- **Type**: HTTP GET
- **Path**: `/live`
- **Port**: `system` (9090)
- **Period**: 5 seconds
- **Timeout**: 30 seconds
- **Failure Threshold**: 1

**Readiness Probe:**
- **Type**: HTTP GET
- **Path**: `/health`
- **Port**: `system` (9090)
- **Period**: 10 seconds
- **Timeout**: 30 seconds
- **Failure Threshold**: 60

**Startup Probe:**
- **Type**: HTTP GET
- **Path**: `/live`
- **Port**: `system` (9090)
- **Period**: 10 seconds
- **Timeout**: 5 seconds
- **Failure Threshold**: 720 (allows up to 2 hours for startup: 10s × 720 = 7200s)

:::{note}
For larger models (typically >70B parameters) or slower storage systems, you may need to increase the `failureThreshold` to allow more time for model loading. Calculate the required threshold based on your expected startup time: `failureThreshold = (expected_startup_seconds / period)`. Override the startup probe in your component specification if the default 2-hour window is insufficient.
:::

### Multinode Deployment Probe Modifications

For multinode deployments, the operator modifies probes based on the backend framework and node role:

#### VLLM Backend

The operator automatically selects between two deployment modes based on parallelism configuration:

**Tensor/Pipeline Parallel Mode** (when `world_size > GPUs_per_node`):
- Uses Ray for distributed execution (`--distributed-executor-backend ray`)
- **Leader nodes**: Starts Ray head and runs vLLM; all probes remain active
- **Worker nodes**: Run Ray agents only; all probes (liveness, readiness, startup) are removed

**Data Parallel Mode** (when `world_size × data_parallel_size > GPUs_per_node`):
- **Worker nodes**: All probes (liveness, readiness, startup) are removed
- **Leader nodes**: All probes remain active

#### SGLang Backend
- **Worker nodes**: All probes (liveness, readiness, startup) are removed

#### TensorRT-LLM Backend
- **Leader nodes**: All probes remain unchanged
- **Worker nodes**:
  - Liveness and startup probes are removed
  - Readiness probe is replaced with a TCP socket check on SSH port (2222):
    - **Initial Delay**: 20 seconds
    - **Period**: 20 seconds
    - **Timeout**: 5 seconds
    - **Failure Threshold**: 10

## Environment Variables

The operator automatically injects environment variables based on component type and configuration:

### All Components

- **`DYN_NAMESPACE`**: The Dynamo namespace for the component
- **`DYN_PARENT_DGD_K8S_NAME`**: The parent DynamoGraphDeployment Kubernetes resource name
- **`DYN_PARENT_DGD_K8S_NAMESPACE`**: The parent DynamoGraphDeployment Kubernetes namespace

### Frontend Components

- **`DYNAMO_PORT`**: `8000`
- **`DYN_HTTP_PORT`**: `8000`

### Worker Components

- **`DYN_SYSTEM_PORT`**: `9090` (automatically enables the system metrics server)
- **`DYN_SYSTEM_USE_ENDPOINT_HEALTH_STATUS`**: `["generate"]`
- **`DYN_SYSTEM_ENABLED`**: `true` (needed for runtime images 0.6.1 and older)
- **`NIXL_TELEMETRY_PROMETHEUS_PORT`**: `19090`
- **`NIXL_TELEMETRY_EXPORTER`**: `prometheus`
- **`NIXL_TELEMETRY_ENABLE`**: `n` (by default NIXL telemetry is disabled)

### Planner Components

- **`PLANNER_PROMETHEUS_PORT`**: `9085`

### VLLM Backend (with compilation cache)

When a volume mount is configured with `useAsCompilationCache: true`:
- **`VLLM_CACHE_ROOT`**: Set to the mount point of the cache volume

## Service Account

Planner components automatically receive the following service account:

- **`serviceAccountName`**: `planner-serviceaccount`

## Image Pull Secrets

The operator automatically discovers and injects image pull secrets for container images. When a component specifies a container image, the operator:

1. Scans all Kubernetes secrets of type `kubernetes.io/dockerconfigjson` in the component's namespace
2. Extracts the docker registry server URLs from each secret's authentication configuration
3. Matches the container image's registry host against the discovered registry URLs
4. Automatically injects matching secrets as `imagePullSecrets` in the pod specification

This eliminates the need to manually specify image pull secrets for each component. The operator maintains an internal index of docker secrets and their associated registries, refreshing this index periodically.

**To disable automatic image pull secret discovery** for a specific component, add the following annotation:

```yaml
annotations:
  nvidia.com/disable-image-pull-secret-discovery: "true"
```

## Autoscaling Defaults

When autoscaling is enabled but no metrics are specified, the operator applies:

- **Default Metric**: CPU utilization
- **Target Average Utilization**: `80%`

## Port Configurations

Default container ports are configured based on component type:

### Frontend Components
- **Port**: 8000
- **Protocol**: TCP
- **Name**: `http`

### Worker Components
- **Port**: 9090
- **Protocol**: TCP
- **Name**: `system`

### Planner Components
- **Port**: 9085
- **Protocol**: TCP
- **Name**: `metrics`

## Backend-Specific Configurations

### VLLM
- **Ray Head Port**: 6379 (for Ray cluster coordination in multinode TP/PP deployments)
- **Data Parallel RPC Port**: 13445 (for data parallel multinode deployments)

### SGLang
- **Distribution Init Port**: 29500 (for multinode deployments)

### TensorRT-LLM
- **SSH Port**: 2222 (for multinode MPI communication)
- **OpenMPI Environment**: `OMPI_MCA_orte_keep_fqdn_hostnames=1`

## Implementation Reference

For users who want to understand the implementation details or contribute to the operator, the default values described in this document are set in the following source files:

- **Health Probes, Security Context & Pod Specifications**: [`internal/dynamo/graph.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/dynamo/graph.go) - Contains the main logic for applying default probes, security context, environment variables, shared memory, and pod configurations
- **Component-Specific Defaults**:
  - [`internal/dynamo/component_frontend.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/dynamo/component_frontend.go)
  - [`internal/dynamo/component_worker.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/dynamo/component_worker.go)
  - [`internal/dynamo/component_planner.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/dynamo/component_planner.go)
- **Image Pull Secrets**: [`internal/secrets/docker.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/secrets/docker.go) - Implements the docker secret indexer and automatic discovery
- **Backend-Specific Behavior**:
  - [`internal/dynamo/backend_vllm.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/dynamo/backend_vllm.go)
  - [`internal/dynamo/backend_sglang.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/dynamo/backend_sglang.go)
  - [`internal/dynamo/backend_trtllm.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/dynamo/backend_trtllm.go)
- **Constants & Annotations**: [`internal/consts/consts.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/consts/consts.go) - Defines annotation keys and other constants

## Notes

- All these defaults can be overridden by explicitly specifying values in your DynamoComponentDeployment or DynamoGraphDeployment resources
- User-specified probes (via `livenessProbe`, `readinessProbe`, or `startupProbe` fields) take precedence over operator defaults
- For security context, if you provide *any* `securityContext` in `extraPodSpec`, no defaults will be injected, giving you full control
- For multinode deployments, some defaults are modified or removed as described above to accommodate distributed execution patterns
- The `extraPodSpec.mainContainer` field can be used to override probe configurations set by the operator
