| `namespace` _string_ | Namespace is the desired namespace for the created DynamoGraphDeployment.<br/>If not specified, defaults to the DGDR namespace. | | 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/> |
| `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/> |
| `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/> |
| `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:0.9.0" | | Optional: \{\}<br/> |
#### DeploymentStatus
#### DeploymentStatus
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@@ -921,7 +921,7 @@ _Appears in:_
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@@ -921,7 +921,7 @@ _Appears in:_
| --- | --- | --- | --- |
| --- | --- | --- | --- |
| `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/> |
| `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/> |
| `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/> |
| `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:0.9.0" | | 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/> |
| `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/> |
| `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/> |
| `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/> |
pvijayakrish <pvijayakrish@nvidia.com>