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Viewing docs for NVIDIA AI Cluster Runtime v0.1.6
published on Thursday, May 21, 2026 by Pulumi Labs
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Viewing docs for NVIDIA AI Cluster Runtime v0.1.6
published on Thursday, May 21, 2026 by Pulumi Labs

    Create ClusterStack Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new ClusterStack(name: string, args: ClusterStackArgs, opts?: ComponentResourceOptions);
    @overload
    def ClusterStack(resource_name: str,
                     args: ClusterStackArgs,
                     opts: Optional[ResourceOptions] = None)
    
    @overload
    def ClusterStack(resource_name: str,
                     opts: Optional[ResourceOptions] = None,
                     accelerator: Optional[str] = None,
                     intent: Optional[str] = None,
                     service: Optional[str] = None,
                     component_overrides: Optional[Mapping[str, ComponentOverrideArgs]] = None,
                     context: Optional[str] = None,
                     kubeconfig: Optional[str] = None,
                     kubeconfig_path: Optional[str] = None,
                     os: Optional[str] = None,
                     platform: Optional[str] = None,
                     skip_await: Optional[bool] = None,
                     skip_components: Optional[Sequence[str]] = None)
    func NewClusterStack(ctx *Context, name string, args ClusterStackArgs, opts ...ResourceOption) (*ClusterStack, error)
    public ClusterStack(string name, ClusterStackArgs args, ComponentResourceOptions? opts = null)
    public ClusterStack(String name, ClusterStackArgs args)
    public ClusterStack(String name, ClusterStackArgs args, ComponentResourceOptions options)
    
    type: nvidia-aicr:ClusterStack
    properties: # The arguments to resource properties.
    options: # Bag of options to control resource's behavior.
    
    
    resource "nvidia-aicr_clusterstack" "name" {
        # resource properties
    }

    Parameters

    name string
    The unique name of the resource.
    args ClusterStackArgs
    The arguments to resource properties.
    opts ComponentResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args ClusterStackArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args ClusterStackArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args ClusterStackArgs
    The arguments to resource properties.
    opts ComponentResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args ClusterStackArgs
    The arguments to resource properties.
    options ComponentResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var clusterStackResource = new NvidiaAicr.ClusterStack("clusterStackResource", new()
    {
        Accelerator = "string",
        Intent = "string",
        Service = "string",
        ComponentOverrides = 
        {
            { "string", new NvidiaAicr.Inputs.ComponentOverrideArgs
            {
                Namespace = "string",
                Values = 
                {
                    { "string", "any" },
                },
                Version = "string",
            } },
        },
        Context = "string",
        Kubeconfig = "string",
        KubeconfigPath = "string",
        Os = "string",
        Platform = "string",
        SkipAwait = false,
        SkipComponents = new[]
        {
            "string",
        },
    });
    
    example, err := nvidiaaicr.NewClusterStack(ctx, "clusterStackResource", &nvidiaaicr.ClusterStackArgs{
    	Accelerator: "string",
    	Intent:      "string",
    	Service:     "string",
    	ComponentOverrides: nvidiaaicr.ComponentOverrideMap{
    		"string": &nvidiaaicr.ComponentOverrideArgs{
    			Namespace: pulumi.String("string"),
    			Values: pulumi.Map{
    				"string": pulumi.Any("any"),
    			},
    			Version: pulumi.String("string"),
    		},
    	},
    	Context:        "string",
    	Kubeconfig:     pulumi.String("string"),
    	KubeconfigPath: "string",
    	Os:             "string",
    	Platform:       "string",
    	SkipAwait:      false,
    	SkipComponents: pulumi.StringArray{
    		"string",
    	},
    })
    
    resource "nvidia-aicr_clusterstack" "clusterStackResource" {
      accelerator = "string"
      intent      = "string"
      service     = "string"
      component_overrides = {
        "string" = {
          namespace = "string"
          values = {
            "string" = "any"
          }
          version = "string"
        }
      }
      context         = "string"
      kubeconfig      = "string"
      kubeconfig_path = "string"
      os              = "string"
      platform        = "string"
      skip_await      = false
      skip_components = ["string"]
    }
    
    var clusterStackResource = new ClusterStack("clusterStackResource", ClusterStackArgs.builder()
        .accelerator("string")
        .intent("string")
        .service("string")
        .componentOverrides(Map.of("string", ComponentOverrideArgs.builder()
            .namespace("string")
            .values(Map.of("string", "any"))
            .version("string")
            .build()))
        .context("string")
        .kubeconfig("string")
        .kubeconfigPath("string")
        .os("string")
        .platform("string")
        .skipAwait(false)
        .skipComponents("string")
        .build());
    
    cluster_stack_resource = nvidia_aicr.ClusterStack("clusterStackResource",
        accelerator="string",
        intent="string",
        service="string",
        component_overrides={
            "string": {
                "namespace": "string",
                "values": {
                    "string": "any",
                },
                "version": "string",
            },
        },
        context="string",
        kubeconfig="string",
        kubeconfig_path="string",
        os="string",
        platform="string",
        skip_await=False,
        skip_components=["string"])
    
    const clusterStackResource = new nvidia_aicr.ClusterStack("clusterStackResource", {
        accelerator: "string",
        intent: "string",
        service: "string",
        componentOverrides: {
            string: {
                namespace: "string",
                values: {
                    string: "any",
                },
                version: "string",
            },
        },
        context: "string",
        kubeconfig: "string",
        kubeconfigPath: "string",
        os: "string",
        platform: "string",
        skipAwait: false,
        skipComponents: ["string"],
    });
    
    type: nvidia-aicr:ClusterStack
    properties:
        accelerator: string
        componentOverrides:
            string:
                namespace: string
                values:
                    string: any
                version: string
        context: string
        intent: string
        kubeconfig: string
        kubeconfigPath: string
        os: string
        platform: string
        service: string
        skipAwait: false
        skipComponents:
            - string
    

    ClusterStack Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The ClusterStack resource accepts the following input properties:

    Accelerator string

    GPU accelerator type. Selects the AICR recipe family.

    Supported values: "h100", "gb200", "b200".

    Intent string

    Workload intent. Selects between training-oriented and inference-oriented component sets.

    Supported values: "training", "inference".

    Service string

    Kubernetes service. Selects cloud-specific operators and storage drivers.

    Supported values: "aks", "eks", "gke", "kind", "oke". Use "kind" for local hardware-free development of the deployment pipeline.

    ComponentOverrides Dictionary<string, Pulumi.Labs.NvidiaAicr.Inputs.ComponentOverrideArgs>
    Per-component overrides. Map of AICR component name to override settings (version, namespace, Helm values). Values are deep-merged with the recipe defaults; only the keys you specify are changed.
    Context string
    Kubeconfig context to select. Defaults to the current-context in the kubeconfig.
    Kubeconfig string

    Kubeconfig contents (or path to a kubeconfig file) for the target cluster. Accepts computed outputs from cluster resources (e.g., an EKS cluster's KubeconfigJson). Mutually exclusive with kubeconfigPath.

    If neither kubeconfig nor kubeconfigPath is set, the ambient kubeconfig (KUBECONFIG env var or ~/.kube/config) is used.

    KubeconfigPath string
    Path to a kubeconfig file on disk. Mutually exclusive with kubeconfig. Prefer kubeconfig when chaining off a cluster resource's output.
    Os string

    Operating system flavor.

    Supported values: "ubuntu" (default), "cos" (Container-Optimized OS, GKE only).

    Platform string

    ML platform/framework to layer on top of the base recipe.

    Supported values: "kubeflow" (training), "dynamo" (inference), "nim" (inference, EKS+H100 only).

    Leave unset for the base recipe without a platform-specific runtime. Note that intent="inference" always includes the kgateway inference gateway (part of the base inference stack); choosing a platform layers a runtime ("dynamo", "nim") on top. intent="training" leaves training-runtime components out entirely when platform is unset.

    SkipAwait bool
    If true, do not wait for each Helm release to become ready before continuing. Faster previews/updates at the cost of losing readiness signal. Default: false.
    SkipComponents List<string>
    Component names to exclude from the deployment. Useful for swapping in your own installation of a component (e.g., bring-your-own cert-manager) or for deploying onto bare-metal where cloud-specific operators are not relevant.
    Accelerator string

    GPU accelerator type. Selects the AICR recipe family.

    Supported values: "h100", "gb200", "b200".

    Intent string

    Workload intent. Selects between training-oriented and inference-oriented component sets.

    Supported values: "training", "inference".

    Service string

    Kubernetes service. Selects cloud-specific operators and storage drivers.

    Supported values: "aks", "eks", "gke", "kind", "oke". Use "kind" for local hardware-free development of the deployment pipeline.

    ComponentOverrides map[string]ComponentOverrideArgs
    Per-component overrides. Map of AICR component name to override settings (version, namespace, Helm values). Values are deep-merged with the recipe defaults; only the keys you specify are changed.
    Context string
    Kubeconfig context to select. Defaults to the current-context in the kubeconfig.
    Kubeconfig string

    Kubeconfig contents (or path to a kubeconfig file) for the target cluster. Accepts computed outputs from cluster resources (e.g., an EKS cluster's KubeconfigJson). Mutually exclusive with kubeconfigPath.

    If neither kubeconfig nor kubeconfigPath is set, the ambient kubeconfig (KUBECONFIG env var or ~/.kube/config) is used.

    KubeconfigPath string
    Path to a kubeconfig file on disk. Mutually exclusive with kubeconfig. Prefer kubeconfig when chaining off a cluster resource's output.
    Os string

    Operating system flavor.

    Supported values: "ubuntu" (default), "cos" (Container-Optimized OS, GKE only).

    Platform string

    ML platform/framework to layer on top of the base recipe.

    Supported values: "kubeflow" (training), "dynamo" (inference), "nim" (inference, EKS+H100 only).

    Leave unset for the base recipe without a platform-specific runtime. Note that intent="inference" always includes the kgateway inference gateway (part of the base inference stack); choosing a platform layers a runtime ("dynamo", "nim") on top. intent="training" leaves training-runtime components out entirely when platform is unset.

    SkipAwait bool
    If true, do not wait for each Helm release to become ready before continuing. Faster previews/updates at the cost of losing readiness signal. Default: false.
    SkipComponents []string
    Component names to exclude from the deployment. Useful for swapping in your own installation of a component (e.g., bring-your-own cert-manager) or for deploying onto bare-metal where cloud-specific operators are not relevant.
    accelerator string

    GPU accelerator type. Selects the AICR recipe family.

    Supported values: "h100", "gb200", "b200".

    intent string

    Workload intent. Selects between training-oriented and inference-oriented component sets.

    Supported values: "training", "inference".

    service string

    Kubernetes service. Selects cloud-specific operators and storage drivers.

    Supported values: "aks", "eks", "gke", "kind", "oke". Use "kind" for local hardware-free development of the deployment pipeline.

    component_overrides map(object)
    Per-component overrides. Map of AICR component name to override settings (version, namespace, Helm values). Values are deep-merged with the recipe defaults; only the keys you specify are changed.
    context string
    Kubeconfig context to select. Defaults to the current-context in the kubeconfig.
    kubeconfig string

    Kubeconfig contents (or path to a kubeconfig file) for the target cluster. Accepts computed outputs from cluster resources (e.g., an EKS cluster's KubeconfigJson). Mutually exclusive with kubeconfigPath.

    If neither kubeconfig nor kubeconfigPath is set, the ambient kubeconfig (KUBECONFIG env var or ~/.kube/config) is used.

    kubeconfig_path string
    Path to a kubeconfig file on disk. Mutually exclusive with kubeconfig. Prefer kubeconfig when chaining off a cluster resource's output.
    os string

    Operating system flavor.

    Supported values: "ubuntu" (default), "cos" (Container-Optimized OS, GKE only).

    platform string

    ML platform/framework to layer on top of the base recipe.

    Supported values: "kubeflow" (training), "dynamo" (inference), "nim" (inference, EKS+H100 only).

    Leave unset for the base recipe without a platform-specific runtime. Note that intent="inference" always includes the kgateway inference gateway (part of the base inference stack); choosing a platform layers a runtime ("dynamo", "nim") on top. intent="training" leaves training-runtime components out entirely when platform is unset.

    skip_await bool
    If true, do not wait for each Helm release to become ready before continuing. Faster previews/updates at the cost of losing readiness signal. Default: false.
    skip_components list(string)
    Component names to exclude from the deployment. Useful for swapping in your own installation of a component (e.g., bring-your-own cert-manager) or for deploying onto bare-metal where cloud-specific operators are not relevant.
    accelerator String

    GPU accelerator type. Selects the AICR recipe family.

    Supported values: "h100", "gb200", "b200".

    intent String

    Workload intent. Selects between training-oriented and inference-oriented component sets.

    Supported values: "training", "inference".

    service String

    Kubernetes service. Selects cloud-specific operators and storage drivers.

    Supported values: "aks", "eks", "gke", "kind", "oke". Use "kind" for local hardware-free development of the deployment pipeline.

    componentOverrides Map<String,ComponentOverrideArgs>
    Per-component overrides. Map of AICR component name to override settings (version, namespace, Helm values). Values are deep-merged with the recipe defaults; only the keys you specify are changed.
    context String
    Kubeconfig context to select. Defaults to the current-context in the kubeconfig.
    kubeconfig String

    Kubeconfig contents (or path to a kubeconfig file) for the target cluster. Accepts computed outputs from cluster resources (e.g., an EKS cluster's KubeconfigJson). Mutually exclusive with kubeconfigPath.

    If neither kubeconfig nor kubeconfigPath is set, the ambient kubeconfig (KUBECONFIG env var or ~/.kube/config) is used.

    kubeconfigPath String
    Path to a kubeconfig file on disk. Mutually exclusive with kubeconfig. Prefer kubeconfig when chaining off a cluster resource's output.
    os String

    Operating system flavor.

    Supported values: "ubuntu" (default), "cos" (Container-Optimized OS, GKE only).

    platform String

    ML platform/framework to layer on top of the base recipe.

    Supported values: "kubeflow" (training), "dynamo" (inference), "nim" (inference, EKS+H100 only).

    Leave unset for the base recipe without a platform-specific runtime. Note that intent="inference" always includes the kgateway inference gateway (part of the base inference stack); choosing a platform layers a runtime ("dynamo", "nim") on top. intent="training" leaves training-runtime components out entirely when platform is unset.

    skipAwait Boolean
    If true, do not wait for each Helm release to become ready before continuing. Faster previews/updates at the cost of losing readiness signal. Default: false.
    skipComponents List<String>
    Component names to exclude from the deployment. Useful for swapping in your own installation of a component (e.g., bring-your-own cert-manager) or for deploying onto bare-metal where cloud-specific operators are not relevant.
    accelerator string

    GPU accelerator type. Selects the AICR recipe family.

    Supported values: "h100", "gb200", "b200".

    intent string

    Workload intent. Selects between training-oriented and inference-oriented component sets.

    Supported values: "training", "inference".

    service string

    Kubernetes service. Selects cloud-specific operators and storage drivers.

    Supported values: "aks", "eks", "gke", "kind", "oke". Use "kind" for local hardware-free development of the deployment pipeline.

    componentOverrides {[key: string]: ComponentOverrideArgs}
    Per-component overrides. Map of AICR component name to override settings (version, namespace, Helm values). Values are deep-merged with the recipe defaults; only the keys you specify are changed.
    context string
    Kubeconfig context to select. Defaults to the current-context in the kubeconfig.
    kubeconfig string

    Kubeconfig contents (or path to a kubeconfig file) for the target cluster. Accepts computed outputs from cluster resources (e.g., an EKS cluster's KubeconfigJson). Mutually exclusive with kubeconfigPath.

    If neither kubeconfig nor kubeconfigPath is set, the ambient kubeconfig (KUBECONFIG env var or ~/.kube/config) is used.

    kubeconfigPath string
    Path to a kubeconfig file on disk. Mutually exclusive with kubeconfig. Prefer kubeconfig when chaining off a cluster resource's output.
    os string

    Operating system flavor.

    Supported values: "ubuntu" (default), "cos" (Container-Optimized OS, GKE only).

    platform string

    ML platform/framework to layer on top of the base recipe.

    Supported values: "kubeflow" (training), "dynamo" (inference), "nim" (inference, EKS+H100 only).

    Leave unset for the base recipe without a platform-specific runtime. Note that intent="inference" always includes the kgateway inference gateway (part of the base inference stack); choosing a platform layers a runtime ("dynamo", "nim") on top. intent="training" leaves training-runtime components out entirely when platform is unset.

    skipAwait boolean
    If true, do not wait for each Helm release to become ready before continuing. Faster previews/updates at the cost of losing readiness signal. Default: false.
    skipComponents string[]
    Component names to exclude from the deployment. Useful for swapping in your own installation of a component (e.g., bring-your-own cert-manager) or for deploying onto bare-metal where cloud-specific operators are not relevant.
    accelerator str

    GPU accelerator type. Selects the AICR recipe family.

    Supported values: "h100", "gb200", "b200".

    intent str

    Workload intent. Selects between training-oriented and inference-oriented component sets.

    Supported values: "training", "inference".

    service str

    Kubernetes service. Selects cloud-specific operators and storage drivers.

    Supported values: "aks", "eks", "gke", "kind", "oke". Use "kind" for local hardware-free development of the deployment pipeline.

    component_overrides Mapping[str, ComponentOverrideArgs]
    Per-component overrides. Map of AICR component name to override settings (version, namespace, Helm values). Values are deep-merged with the recipe defaults; only the keys you specify are changed.
    context str
    Kubeconfig context to select. Defaults to the current-context in the kubeconfig.
    kubeconfig str

    Kubeconfig contents (or path to a kubeconfig file) for the target cluster. Accepts computed outputs from cluster resources (e.g., an EKS cluster's KubeconfigJson). Mutually exclusive with kubeconfigPath.

    If neither kubeconfig nor kubeconfigPath is set, the ambient kubeconfig (KUBECONFIG env var or ~/.kube/config) is used.

    kubeconfig_path str
    Path to a kubeconfig file on disk. Mutually exclusive with kubeconfig. Prefer kubeconfig when chaining off a cluster resource's output.
    os str

    Operating system flavor.

    Supported values: "ubuntu" (default), "cos" (Container-Optimized OS, GKE only).

    platform str

    ML platform/framework to layer on top of the base recipe.

    Supported values: "kubeflow" (training), "dynamo" (inference), "nim" (inference, EKS+H100 only).

    Leave unset for the base recipe without a platform-specific runtime. Note that intent="inference" always includes the kgateway inference gateway (part of the base inference stack); choosing a platform layers a runtime ("dynamo", "nim") on top. intent="training" leaves training-runtime components out entirely when platform is unset.

    skip_await bool
    If true, do not wait for each Helm release to become ready before continuing. Faster previews/updates at the cost of losing readiness signal. Default: false.
    skip_components Sequence[str]
    Component names to exclude from the deployment. Useful for swapping in your own installation of a component (e.g., bring-your-own cert-manager) or for deploying onto bare-metal where cloud-specific operators are not relevant.
    accelerator String

    GPU accelerator type. Selects the AICR recipe family.

    Supported values: "h100", "gb200", "b200".

    intent String

    Workload intent. Selects between training-oriented and inference-oriented component sets.

    Supported values: "training", "inference".

    service String

    Kubernetes service. Selects cloud-specific operators and storage drivers.

    Supported values: "aks", "eks", "gke", "kind", "oke". Use "kind" for local hardware-free development of the deployment pipeline.

    componentOverrides Map<Property Map>
    Per-component overrides. Map of AICR component name to override settings (version, namespace, Helm values). Values are deep-merged with the recipe defaults; only the keys you specify are changed.
    context String
    Kubeconfig context to select. Defaults to the current-context in the kubeconfig.
    kubeconfig String

    Kubeconfig contents (or path to a kubeconfig file) for the target cluster. Accepts computed outputs from cluster resources (e.g., an EKS cluster's KubeconfigJson). Mutually exclusive with kubeconfigPath.

    If neither kubeconfig nor kubeconfigPath is set, the ambient kubeconfig (KUBECONFIG env var or ~/.kube/config) is used.

    kubeconfigPath String
    Path to a kubeconfig file on disk. Mutually exclusive with kubeconfig. Prefer kubeconfig when chaining off a cluster resource's output.
    os String

    Operating system flavor.

    Supported values: "ubuntu" (default), "cos" (Container-Optimized OS, GKE only).

    platform String

    ML platform/framework to layer on top of the base recipe.

    Supported values: "kubeflow" (training), "dynamo" (inference), "nim" (inference, EKS+H100 only).

    Leave unset for the base recipe without a platform-specific runtime. Note that intent="inference" always includes the kgateway inference gateway (part of the base inference stack); choosing a platform layers a runtime ("dynamo", "nim") on top. intent="training" leaves training-runtime components out entirely when platform is unset.

    skipAwait Boolean
    If true, do not wait for each Helm release to become ready before continuing. Faster previews/updates at the cost of losing readiness signal. Default: false.
    skipComponents List<String>
    Component names to exclude from the deployment. Useful for swapping in your own installation of a component (e.g., bring-your-own cert-manager) or for deploying onto bare-metal where cloud-specific operators are not relevant.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the ClusterStack resource produces the following output properties:

    ComponentCount int
    Number of components deployed.
    DeployedComponents List<string>
    Names of all components deployed as part of this stack, in topological order.
    RecipeName string
    The resolved AICR recipe name (e.g., "h100-eks-ubuntu-training-kubeflow").
    RecipeVersion string
    The AICR recipe data version embedded in this provider build.
    ComponentCount int
    Number of components deployed.
    DeployedComponents []string
    Names of all components deployed as part of this stack, in topological order.
    RecipeName string
    The resolved AICR recipe name (e.g., "h100-eks-ubuntu-training-kubeflow").
    RecipeVersion string
    The AICR recipe data version embedded in this provider build.
    component_count number
    Number of components deployed.
    deployed_components list(string)
    Names of all components deployed as part of this stack, in topological order.
    recipe_name string
    The resolved AICR recipe name (e.g., "h100-eks-ubuntu-training-kubeflow").
    recipe_version string
    The AICR recipe data version embedded in this provider build.
    componentCount Integer
    Number of components deployed.
    deployedComponents List<String>
    Names of all components deployed as part of this stack, in topological order.
    recipeName String
    The resolved AICR recipe name (e.g., "h100-eks-ubuntu-training-kubeflow").
    recipeVersion String
    The AICR recipe data version embedded in this provider build.
    componentCount number
    Number of components deployed.
    deployedComponents string[]
    Names of all components deployed as part of this stack, in topological order.
    recipeName string
    The resolved AICR recipe name (e.g., "h100-eks-ubuntu-training-kubeflow").
    recipeVersion string
    The AICR recipe data version embedded in this provider build.
    component_count int
    Number of components deployed.
    deployed_components Sequence[str]
    Names of all components deployed as part of this stack, in topological order.
    recipe_name str
    The resolved AICR recipe name (e.g., "h100-eks-ubuntu-training-kubeflow").
    recipe_version str
    The AICR recipe data version embedded in this provider build.
    componentCount Number
    Number of components deployed.
    deployedComponents List<String>
    Names of all components deployed as part of this stack, in topological order.
    recipeName String
    The resolved AICR recipe name (e.g., "h100-eks-ubuntu-training-kubeflow").
    recipeVersion String
    The AICR recipe data version embedded in this provider build.

    Supporting Types

    ComponentOverride, ComponentOverrideArgs

    Per-component override settings. Each field is optional; only the fields you set are applied on top of the recipe defaults.
    Namespace string
    Override the target Kubernetes namespace.
    Values Dictionary<string, object>
    Additional or override Helm values, deep-merged with the recipe defaults.
    Version string
    Override the Helm chart version. If unset, the recipe-pinned version is used.
    Namespace string
    Override the target Kubernetes namespace.
    Values map[string]interface{}
    Additional or override Helm values, deep-merged with the recipe defaults.
    Version string
    Override the Helm chart version. If unset, the recipe-pinned version is used.
    namespace string
    Override the target Kubernetes namespace.
    values map(any)
    Additional or override Helm values, deep-merged with the recipe defaults.
    version string
    Override the Helm chart version. If unset, the recipe-pinned version is used.
    namespace String
    Override the target Kubernetes namespace.
    values Map<String,Object>
    Additional or override Helm values, deep-merged with the recipe defaults.
    version String
    Override the Helm chart version. If unset, the recipe-pinned version is used.
    namespace string
    Override the target Kubernetes namespace.
    values {[key: string]: any}
    Additional or override Helm values, deep-merged with the recipe defaults.
    version string
    Override the Helm chart version. If unset, the recipe-pinned version is used.
    namespace str
    Override the target Kubernetes namespace.
    values Mapping[str, Any]
    Additional or override Helm values, deep-merged with the recipe defaults.
    version str
    Override the Helm chart version. If unset, the recipe-pinned version is used.
    namespace String
    Override the target Kubernetes namespace.
    values Map<Any>
    Additional or override Helm values, deep-merged with the recipe defaults.
    version String
    Override the Helm chart version. If unset, the recipe-pinned version is used.

    Package Details

    Repository
    nvidia-aicr pulumi-labs/pulumi-nvidia-aicr
    License
    Apache-2.0
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    Viewing docs for NVIDIA AI Cluster Runtime v0.1.6
    published on Thursday, May 21, 2026 by Pulumi Labs
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