Oracle Cloud Infrastructure v1.41.0, Jun 19 24

Oracle Cloud Infrastructure v1.41.0 published on Wednesday, Jun 19, 2024 by Pulumi

oci.GenerativeAi.getDedicatedAiClusters

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Oracle Cloud Infrastructure v1.41.0 published on Wednesday, Jun 19, 2024 by Pulumi

Example Usage

import * as pulumi from "@pulumi/pulumi";
import * as oci from "@pulumi/oci";

const testDedicatedAiClusters = oci.GenerativeAi.getDedicatedAiClusters({
    compartmentId: compartmentId,
    displayName: dedicatedAiClusterDisplayName,
    id: dedicatedAiClusterId,
    state: dedicatedAiClusterState,
});

import pulumi
import pulumi_oci as oci

test_dedicated_ai_clusters = oci.GenerativeAi.get_dedicated_ai_clusters(compartment_id=compartment_id,
    display_name=dedicated_ai_cluster_display_name,
    id=dedicated_ai_cluster_id,
    state=dedicated_ai_cluster_state)

package main

import (
	"github.com/pulumi/pulumi-oci/sdk/go/oci/GenerativeAi"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := GenerativeAi.GetDedicatedAiClusters(ctx, &generativeai.GetDedicatedAiClustersArgs{
			CompartmentId: compartmentId,
			DisplayName:   pulumi.StringRef(dedicatedAiClusterDisplayName),
			Id:            pulumi.StringRef(dedicatedAiClusterId),
			State:         pulumi.StringRef(dedicatedAiClusterState),
		}, nil)
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Oci = Pulumi.Oci;

return await Deployment.RunAsync(() => 
{
    var testDedicatedAiClusters = Oci.GenerativeAi.GetDedicatedAiClusters.Invoke(new()
    {
        CompartmentId = compartmentId,
        DisplayName = dedicatedAiClusterDisplayName,
        Id = dedicatedAiClusterId,
        State = dedicatedAiClusterState,
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.oci.GenerativeAi.GenerativeAiFunctions;
import com.pulumi.oci.GenerativeAi.inputs.GetDedicatedAiClustersArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        final var testDedicatedAiClusters = GenerativeAiFunctions.getDedicatedAiClusters(GetDedicatedAiClustersArgs.builder()
            .compartmentId(compartmentId)
            .displayName(dedicatedAiClusterDisplayName)
            .id(dedicatedAiClusterId)
            .state(dedicatedAiClusterState)
            .build());

    }
}

variables:
  testDedicatedAiClusters:
    fn::invoke:
      Function: oci:GenerativeAi:getDedicatedAiClusters
      Arguments:
        compartmentId: ${compartmentId}
        displayName: ${dedicatedAiClusterDisplayName}
        id: ${dedicatedAiClusterId}
        state: ${dedicatedAiClusterState}

Using getDedicatedAiClusters

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

function getDedicatedAiClusters(args: GetDedicatedAiClustersArgs, opts?: InvokeOptions): Promise<GetDedicatedAiClustersResult>
function getDedicatedAiClustersOutput(args: GetDedicatedAiClustersOutputArgs, opts?: InvokeOptions): Output<GetDedicatedAiClustersResult>

def get_dedicated_ai_clusters(compartment_id: Optional[str] = None,
                              display_name: Optional[str] = None,
                              filters: Optional[Sequence[_generativeai.GetDedicatedAiClustersFilter]] = None,
                              id: Optional[str] = None,
                              state: Optional[str] = None,
                              opts: Optional[InvokeOptions] = None) -> GetDedicatedAiClustersResult
def get_dedicated_ai_clusters_output(compartment_id: Optional[pulumi.Input[str]] = None,
                              display_name: Optional[pulumi.Input[str]] = None,
                              filters: Optional[pulumi.Input[Sequence[pulumi.Input[_generativeai.GetDedicatedAiClustersFilterArgs]]]] = None,
                              id: Optional[pulumi.Input[str]] = None,
                              state: Optional[pulumi.Input[str]] = None,
                              opts: Optional[InvokeOptions] = None) -> Output[GetDedicatedAiClustersResult]

func GetDedicatedAiClusters(ctx *Context, args *GetDedicatedAiClustersArgs, opts ...InvokeOption) (*GetDedicatedAiClustersResult, error)
func GetDedicatedAiClustersOutput(ctx *Context, args *GetDedicatedAiClustersOutputArgs, opts ...InvokeOption) GetDedicatedAiClustersResultOutput

> Note: This function is named GetDedicatedAiClusters in the Go SDK.

public static class GetDedicatedAiClusters 
{
    public static Task<GetDedicatedAiClustersResult> InvokeAsync(GetDedicatedAiClustersArgs args, InvokeOptions? opts = null)
    public static Output<GetDedicatedAiClustersResult> Invoke(GetDedicatedAiClustersInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetDedicatedAiClustersResult> getDedicatedAiClusters(GetDedicatedAiClustersArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet

fn::invoke:
  function: oci:GenerativeAi/getDedicatedAiClusters:getDedicatedAiClusters
  arguments:
    # arguments dictionary

The following arguments are supported:

CompartmentId string: The OCID of the compartment in which to list resources.
DisplayName string: A filter to return only resources that match the given display name exactly.
Filters List<GetDedicatedAiClustersFilter>
Id string: The OCID of the dedicated AI cluster.
State string: A filter to return only the dedicated AI clusters that their lifecycle state matches the given lifecycle state.

CompartmentId string: The OCID of the compartment in which to list resources.
DisplayName string: A filter to return only resources that match the given display name exactly.
Filters []GetDedicatedAiClustersFilter
Id string: The OCID of the dedicated AI cluster.
State string: A filter to return only the dedicated AI clusters that their lifecycle state matches the given lifecycle state.

compartmentId String: The OCID of the compartment in which to list resources.
displayName String: A filter to return only resources that match the given display name exactly.
filters List<GetDedicatedAiClustersFilter>
id String: The OCID of the dedicated AI cluster.
state String: A filter to return only the dedicated AI clusters that their lifecycle state matches the given lifecycle state.

compartmentId string: The OCID of the compartment in which to list resources.
displayName string: A filter to return only resources that match the given display name exactly.
filters GetDedicatedAiClustersFilter[]
id string: The OCID of the dedicated AI cluster.
state string: A filter to return only the dedicated AI clusters that their lifecycle state matches the given lifecycle state.

compartment_id str: The OCID of the compartment in which to list resources.
display_name str: A filter to return only resources that match the given display name exactly.
filters Sequence[generativeai.GetDedicatedAiClustersFilter]
id str: The OCID of the dedicated AI cluster.
state str: A filter to return only the dedicated AI clusters that their lifecycle state matches the given lifecycle state.

compartmentId String: The OCID of the compartment in which to list resources.
displayName String: A filter to return only resources that match the given display name exactly.
filters List<Property Map>
id String: The OCID of the dedicated AI cluster.
state String: A filter to return only the dedicated AI clusters that their lifecycle state matches the given lifecycle state.

getDedicatedAiClusters Result

The following output properties are available:

CompartmentId string: The compartment OCID to create the dedicated AI cluster in.
DedicatedAiClusterCollections List<GetDedicatedAiClustersDedicatedAiClusterCollection>: The list of dedicated_ai_cluster_collection.
DisplayName string: A user-friendly name. Does not have to be unique, and it's changeable.
Filters List<GetDedicatedAiClustersFilter>
Id string: The OCID of the dedicated AI cluster.
State string: The current state of the dedicated AI cluster.

CompartmentId string: The compartment OCID to create the dedicated AI cluster in.
DedicatedAiClusterCollections []GetDedicatedAiClustersDedicatedAiClusterCollection: The list of dedicated_ai_cluster_collection.
DisplayName string: A user-friendly name. Does not have to be unique, and it's changeable.
Filters []GetDedicatedAiClustersFilter
Id string: The OCID of the dedicated AI cluster.
State string: The current state of the dedicated AI cluster.

compartmentId String: The compartment OCID to create the dedicated AI cluster in.
dedicatedAiClusterCollections List<GetDedicatedAiClustersDedicatedAiClusterCollection>: The list of dedicated_ai_cluster_collection.
displayName String: A user-friendly name. Does not have to be unique, and it's changeable.
filters List<GetDedicatedAiClustersFilter>
id String: The OCID of the dedicated AI cluster.
state String: The current state of the dedicated AI cluster.

compartmentId string: The compartment OCID to create the dedicated AI cluster in.
dedicatedAiClusterCollections GetDedicatedAiClustersDedicatedAiClusterCollection[]: The list of dedicated_ai_cluster_collection.
displayName string: A user-friendly name. Does not have to be unique, and it's changeable.
filters GetDedicatedAiClustersFilter[]
id string: The OCID of the dedicated AI cluster.
state string: The current state of the dedicated AI cluster.

compartment_id str: The compartment OCID to create the dedicated AI cluster in.
dedicated_ai_cluster_collections Sequence[generativeai.GetDedicatedAiClustersDedicatedAiClusterCollection]: The list of dedicated_ai_cluster_collection.
display_name str: A user-friendly name. Does not have to be unique, and it's changeable.
filters Sequence[generativeai.GetDedicatedAiClustersFilter]
id str: The OCID of the dedicated AI cluster.
state str: The current state of the dedicated AI cluster.

compartmentId String: The compartment OCID to create the dedicated AI cluster in.
dedicatedAiClusterCollections List<Property Map>: The list of dedicated_ai_cluster_collection.
displayName String: A user-friendly name. Does not have to be unique, and it's changeable.
filters List<Property Map>
id String: The OCID of the dedicated AI cluster.
state String: The current state of the dedicated AI cluster.

Supporting Types

GetDedicatedAiClustersDedicatedAiClusterCollection

Items List<GetDedicatedAiClustersDedicatedAiClusterCollectionItem>

Items []GetDedicatedAiClustersDedicatedAiClusterCollectionItem

items List<GetDedicatedAiClustersDedicatedAiClusterCollectionItem>

items GetDedicatedAiClustersDedicatedAiClusterCollectionItem[]

items Sequence[generativeai.GetDedicatedAiClustersDedicatedAiClusterCollectionItem]

items List<Property Map>

GetDedicatedAiClustersDedicatedAiClusterCollectionItem

Capacities List<GetDedicatedAiClustersDedicatedAiClusterCollectionItemCapacity>: The total capacity for a dedicated AI cluster.
CompartmentId string: The OCID of the compartment in which to list resources.
DefinedTags Dictionary<string, object>: Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
Description string: An optional description of the dedicated AI cluster.
DisplayName string: A filter to return only resources that match the given display name exactly.
FreeformTags Dictionary<string, object>: Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags. Example: {"Department": "Finance"}
Id string: The OCID of the dedicated AI cluster.
LifecycleDetails string: A message describing the current state with detail that can provide actionable information.
State string: A filter to return only the dedicated AI clusters that their lifecycle state matches the given lifecycle state.
SystemTags Dictionary<string, object>: System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
TimeCreated string: The date and time the dedicated AI cluster was created, in the format defined by RFC 3339
TimeUpdated string: The date and time the dedicated AI cluster was updated, in the format defined by RFC 3339
Type string: The dedicated AI cluster type indicating whether this is a fine-tuning/training processor or hosting/inference processor.
UnitCount int: The number of dedicated units in this AI cluster.
UnitShape string: The shape of dedicated unit in this AI cluster. The underlying hardware configuration is hidden from customers.

Capacities []GetDedicatedAiClustersDedicatedAiClusterCollectionItemCapacity: The total capacity for a dedicated AI cluster.
CompartmentId string: The OCID of the compartment in which to list resources.
DefinedTags map[string]interface{}: Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
Description string: An optional description of the dedicated AI cluster.
DisplayName string: A filter to return only resources that match the given display name exactly.
FreeformTags map[string]interface{}: Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags. Example: {"Department": "Finance"}
Id string: The OCID of the dedicated AI cluster.
LifecycleDetails string: A message describing the current state with detail that can provide actionable information.
State string: A filter to return only the dedicated AI clusters that their lifecycle state matches the given lifecycle state.
SystemTags map[string]interface{}: System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
TimeCreated string: The date and time the dedicated AI cluster was created, in the format defined by RFC 3339
TimeUpdated string: The date and time the dedicated AI cluster was updated, in the format defined by RFC 3339
Type string: The dedicated AI cluster type indicating whether this is a fine-tuning/training processor or hosting/inference processor.
UnitCount int: The number of dedicated units in this AI cluster.
UnitShape string: The shape of dedicated unit in this AI cluster. The underlying hardware configuration is hidden from customers.

capacities List<GetDedicatedAiClustersDedicatedAiClusterCollectionItemCapacity>: The total capacity for a dedicated AI cluster.
compartmentId String: The OCID of the compartment in which to list resources.
definedTags Map<String,Object>: Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
description String: An optional description of the dedicated AI cluster.
displayName String: A filter to return only resources that match the given display name exactly.
freeformTags Map<String,Object>: Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags. Example: {"Department": "Finance"}
id String: The OCID of the dedicated AI cluster.
lifecycleDetails String: A message describing the current state with detail that can provide actionable information.
state String: A filter to return only the dedicated AI clusters that their lifecycle state matches the given lifecycle state.
systemTags Map<String,Object>: System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
timeCreated String: The date and time the dedicated AI cluster was created, in the format defined by RFC 3339
timeUpdated String: The date and time the dedicated AI cluster was updated, in the format defined by RFC 3339
type String: The dedicated AI cluster type indicating whether this is a fine-tuning/training processor or hosting/inference processor.
unitCount Integer: The number of dedicated units in this AI cluster.
unitShape String: The shape of dedicated unit in this AI cluster. The underlying hardware configuration is hidden from customers.

capacities GetDedicatedAiClustersDedicatedAiClusterCollectionItemCapacity[]: The total capacity for a dedicated AI cluster.
compartmentId string: The OCID of the compartment in which to list resources.
definedTags {[key: string]: any}: Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
description string: An optional description of the dedicated AI cluster.
displayName string: A filter to return only resources that match the given display name exactly.
freeformTags {[key: string]: any}: Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags. Example: {"Department": "Finance"}
id string: The OCID of the dedicated AI cluster.
lifecycleDetails string: A message describing the current state with detail that can provide actionable information.
state string: A filter to return only the dedicated AI clusters that their lifecycle state matches the given lifecycle state.
systemTags {[key: string]: any}: System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
timeCreated string: The date and time the dedicated AI cluster was created, in the format defined by RFC 3339
timeUpdated string: The date and time the dedicated AI cluster was updated, in the format defined by RFC 3339
type string: The dedicated AI cluster type indicating whether this is a fine-tuning/training processor or hosting/inference processor.
unitCount number: The number of dedicated units in this AI cluster.
unitShape string: The shape of dedicated unit in this AI cluster. The underlying hardware configuration is hidden from customers.

capacities Sequence[generativeai.GetDedicatedAiClustersDedicatedAiClusterCollectionItemCapacity]: The total capacity for a dedicated AI cluster.
compartment_id str: The OCID of the compartment in which to list resources.
defined_tags Mapping[str, Any]: Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
description str: An optional description of the dedicated AI cluster.
display_name str: A filter to return only resources that match the given display name exactly.
freeform_tags Mapping[str, Any]: Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags. Example: {"Department": "Finance"}
id str: The OCID of the dedicated AI cluster.
lifecycle_details str: A message describing the current state with detail that can provide actionable information.
state str: A filter to return only the dedicated AI clusters that their lifecycle state matches the given lifecycle state.
system_tags Mapping[str, Any]: System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
time_created str: The date and time the dedicated AI cluster was created, in the format defined by RFC 3339
time_updated str: The date and time the dedicated AI cluster was updated, in the format defined by RFC 3339
type str: The dedicated AI cluster type indicating whether this is a fine-tuning/training processor or hosting/inference processor.
unit_count int: The number of dedicated units in this AI cluster.
unit_shape str: The shape of dedicated unit in this AI cluster. The underlying hardware configuration is hidden from customers.

capacities List<Property Map>: The total capacity for a dedicated AI cluster.
compartmentId String: The OCID of the compartment in which to list resources.
definedTags Map<Any>: Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
description String: An optional description of the dedicated AI cluster.
displayName String: A filter to return only resources that match the given display name exactly.
freeformTags Map<Any>: Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags. Example: {"Department": "Finance"}
id String: The OCID of the dedicated AI cluster.
lifecycleDetails String: A message describing the current state with detail that can provide actionable information.
state String: A filter to return only the dedicated AI clusters that their lifecycle state matches the given lifecycle state.
systemTags Map<Any>: System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
timeCreated String: The date and time the dedicated AI cluster was created, in the format defined by RFC 3339
timeUpdated String: The date and time the dedicated AI cluster was updated, in the format defined by RFC 3339
type String: The dedicated AI cluster type indicating whether this is a fine-tuning/training processor or hosting/inference processor.
unitCount Number: The number of dedicated units in this AI cluster.
unitShape String: The shape of dedicated unit in this AI cluster. The underlying hardware configuration is hidden from customers.

GetDedicatedAiClustersDedicatedAiClusterCollectionItemCapacity

CapacityType string: The type of the dedicated AI cluster capacity.
TotalEndpointCapacity int: The total number of endpoints that can be hosted on this dedicated AI cluster.
UsedEndpointCapacity int: The number of endpoints hosted on this dedicated AI cluster.

CapacityType string: The type of the dedicated AI cluster capacity.
TotalEndpointCapacity int: The total number of endpoints that can be hosted on this dedicated AI cluster.
UsedEndpointCapacity int: The number of endpoints hosted on this dedicated AI cluster.

capacityType String: The type of the dedicated AI cluster capacity.
totalEndpointCapacity Integer: The total number of endpoints that can be hosted on this dedicated AI cluster.
usedEndpointCapacity Integer: The number of endpoints hosted on this dedicated AI cluster.

capacityType string: The type of the dedicated AI cluster capacity.
totalEndpointCapacity number: The total number of endpoints that can be hosted on this dedicated AI cluster.
usedEndpointCapacity number: The number of endpoints hosted on this dedicated AI cluster.

capacity_type str: The type of the dedicated AI cluster capacity.
total_endpoint_capacity int: The total number of endpoints that can be hosted on this dedicated AI cluster.
used_endpoint_capacity int: The number of endpoints hosted on this dedicated AI cluster.

capacityType String: The type of the dedicated AI cluster capacity.
totalEndpointCapacity Number: The total number of endpoints that can be hosted on this dedicated AI cluster.
usedEndpointCapacity Number: The number of endpoints hosted on this dedicated AI cluster.

GetDedicatedAiClustersFilter

Name string
Values List<string>
Regex bool

Name string
Values []string
Regex bool

name String
values List<String>
regex Boolean

name string
values string[]
regex boolean

name str
values Sequence[str]
regex bool

name String
values List<String>
regex Boolean

Package Details

Repository: oci pulumi/pulumi-oci
License: Apache-2.0
Notes: This Pulumi package is based on the oci Terraform Provider.

Oracle Cloud Infrastructure v1.41.0 published on Wednesday, Jun 19, 2024 by Pulumi

pulumi/pulumi-oci

oci.GenerativeAi.getDedicatedAiClusters

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Example Usage

Using getDedicatedAiClusters

getDedicatedAiClusters Result

Supporting Types

GetDedicatedAiClustersDedicatedAiClusterCollection

GetDedicatedAiClustersDedicatedAiClusterCollectionItem

GetDedicatedAiClustersDedicatedAiClusterCollectionItemCapacity

GetDedicatedAiClustersFilter

Package Details

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