oci.GenerativeAi.DedicatedAiCluster
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This resource provides the Dedicated Ai Cluster resource in Oracle Cloud Infrastructure Generative AI service.
Creates a dedicated AI cluster.
Example Usage
import * as pulumi from "@pulumi/pulumi";
import * as oci from "@pulumi/oci";
const testDedicatedAiCluster = new oci.generativeai.DedicatedAiCluster("test_dedicated_ai_cluster", {
compartmentId: compartmentId,
type: dedicatedAiClusterType,
unitCount: dedicatedAiClusterUnitCount,
unitShape: dedicatedAiClusterUnitShape,
definedTags: {
"Operations.CostCenter": "42",
},
description: dedicatedAiClusterDescription,
displayName: dedicatedAiClusterDisplayName,
freeformTags: {
Department: "Finance",
},
});
import pulumi
import pulumi_oci as oci
test_dedicated_ai_cluster = oci.generative_ai.DedicatedAiCluster("test_dedicated_ai_cluster",
compartment_id=compartment_id,
type=dedicated_ai_cluster_type,
unit_count=dedicated_ai_cluster_unit_count,
unit_shape=dedicated_ai_cluster_unit_shape,
defined_tags={
"Operations.CostCenter": "42",
},
description=dedicated_ai_cluster_description,
display_name=dedicated_ai_cluster_display_name,
freeform_tags={
"Department": "Finance",
})
package main
import (
"github.com/pulumi/pulumi-oci/sdk/v2/go/oci/GenerativeAi"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := GenerativeAi.NewDedicatedAiCluster(ctx, "test_dedicated_ai_cluster", &GenerativeAi.DedicatedAiClusterArgs{
CompartmentId: pulumi.Any(compartmentId),
Type: pulumi.Any(dedicatedAiClusterType),
UnitCount: pulumi.Any(dedicatedAiClusterUnitCount),
UnitShape: pulumi.Any(dedicatedAiClusterUnitShape),
DefinedTags: pulumi.StringMap{
"Operations.CostCenter": pulumi.String("42"),
},
Description: pulumi.Any(dedicatedAiClusterDescription),
DisplayName: pulumi.Any(dedicatedAiClusterDisplayName),
FreeformTags: pulumi.StringMap{
"Department": pulumi.String("Finance"),
},
})
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 testDedicatedAiCluster = new Oci.GenerativeAi.DedicatedAiCluster("test_dedicated_ai_cluster", new()
{
CompartmentId = compartmentId,
Type = dedicatedAiClusterType,
UnitCount = dedicatedAiClusterUnitCount,
UnitShape = dedicatedAiClusterUnitShape,
DefinedTags =
{
{ "Operations.CostCenter", "42" },
},
Description = dedicatedAiClusterDescription,
DisplayName = dedicatedAiClusterDisplayName,
FreeformTags =
{
{ "Department", "Finance" },
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.oci.GenerativeAi.DedicatedAiCluster;
import com.pulumi.oci.GenerativeAi.DedicatedAiClusterArgs;
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) {
var testDedicatedAiCluster = new DedicatedAiCluster("testDedicatedAiCluster", DedicatedAiClusterArgs.builder()
.compartmentId(compartmentId)
.type(dedicatedAiClusterType)
.unitCount(dedicatedAiClusterUnitCount)
.unitShape(dedicatedAiClusterUnitShape)
.definedTags(Map.of("Operations.CostCenter", "42"))
.description(dedicatedAiClusterDescription)
.displayName(dedicatedAiClusterDisplayName)
.freeformTags(Map.of("Department", "Finance"))
.build());
}
}
resources:
testDedicatedAiCluster:
type: oci:GenerativeAi:DedicatedAiCluster
name: test_dedicated_ai_cluster
properties:
compartmentId: ${compartmentId}
type: ${dedicatedAiClusterType}
unitCount: ${dedicatedAiClusterUnitCount}
unitShape: ${dedicatedAiClusterUnitShape}
definedTags:
Operations.CostCenter: '42'
description: ${dedicatedAiClusterDescription}
displayName: ${dedicatedAiClusterDisplayName}
freeformTags:
Department: Finance
Create DedicatedAiCluster Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new DedicatedAiCluster(name: string, args: DedicatedAiClusterArgs, opts?: CustomResourceOptions);
@overload
def DedicatedAiCluster(resource_name: str,
args: DedicatedAiClusterArgs,
opts: Optional[ResourceOptions] = None)
@overload
def DedicatedAiCluster(resource_name: str,
opts: Optional[ResourceOptions] = None,
compartment_id: Optional[str] = None,
type: Optional[str] = None,
unit_count: Optional[int] = None,
unit_shape: Optional[str] = None,
defined_tags: Optional[Mapping[str, str]] = None,
description: Optional[str] = None,
display_name: Optional[str] = None,
freeform_tags: Optional[Mapping[str, str]] = None)
func NewDedicatedAiCluster(ctx *Context, name string, args DedicatedAiClusterArgs, opts ...ResourceOption) (*DedicatedAiCluster, error)
public DedicatedAiCluster(string name, DedicatedAiClusterArgs args, CustomResourceOptions? opts = null)
public DedicatedAiCluster(String name, DedicatedAiClusterArgs args)
public DedicatedAiCluster(String name, DedicatedAiClusterArgs args, CustomResourceOptions options)
type: oci:GenerativeAi:DedicatedAiCluster
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args DedicatedAiClusterArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args DedicatedAiClusterArgs
- 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 DedicatedAiClusterArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args DedicatedAiClusterArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args DedicatedAiClusterArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Constructor example
The following reference example uses placeholder values for all input properties.
var dedicatedAiClusterResource = new Oci.GenerativeAi.DedicatedAiCluster("dedicatedAiClusterResource", new()
{
CompartmentId = "string",
Type = "string",
UnitCount = 0,
UnitShape = "string",
DefinedTags =
{
{ "string", "string" },
},
Description = "string",
DisplayName = "string",
FreeformTags =
{
{ "string", "string" },
},
});
example, err := GenerativeAi.NewDedicatedAiCluster(ctx, "dedicatedAiClusterResource", &GenerativeAi.DedicatedAiClusterArgs{
CompartmentId: pulumi.String("string"),
Type: pulumi.String("string"),
UnitCount: pulumi.Int(0),
UnitShape: pulumi.String("string"),
DefinedTags: pulumi.StringMap{
"string": pulumi.String("string"),
},
Description: pulumi.String("string"),
DisplayName: pulumi.String("string"),
FreeformTags: pulumi.StringMap{
"string": pulumi.String("string"),
},
})
var dedicatedAiClusterResource = new DedicatedAiCluster("dedicatedAiClusterResource", DedicatedAiClusterArgs.builder()
.compartmentId("string")
.type("string")
.unitCount(0)
.unitShape("string")
.definedTags(Map.of("string", "string"))
.description("string")
.displayName("string")
.freeformTags(Map.of("string", "string"))
.build());
dedicated_ai_cluster_resource = oci.generative_ai.DedicatedAiCluster("dedicatedAiClusterResource",
compartment_id="string",
type="string",
unit_count=0,
unit_shape="string",
defined_tags={
"string": "string",
},
description="string",
display_name="string",
freeform_tags={
"string": "string",
})
const dedicatedAiClusterResource = new oci.generativeai.DedicatedAiCluster("dedicatedAiClusterResource", {
compartmentId: "string",
type: "string",
unitCount: 0,
unitShape: "string",
definedTags: {
string: "string",
},
description: "string",
displayName: "string",
freeformTags: {
string: "string",
},
});
type: oci:GenerativeAi:DedicatedAiCluster
properties:
compartmentId: string
definedTags:
string: string
description: string
displayName: string
freeformTags:
string: string
type: string
unitCount: 0
unitShape: string
DedicatedAiCluster 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 DedicatedAiCluster resource accepts the following input properties:
- Compartment
Id string - (Updatable) The compartment OCID to create the dedicated AI cluster in.
- Type string
The dedicated AI cluster type indicating whether this is a fine-tuning/training processor or hosting/inference processor.
Allowed values are:
- HOSTING
- FINE_TUNING
- Unit
Count int - (Updatable) The number of dedicated units in this AI cluster.
- Unit
Shape string The shape of dedicated unit in this AI cluster. The underlying hardware configuration is hidden from customers.
Allowed values are:
- LARGE_COHERE
- LARGE_COHERE_V2
- SMALL_COHERE
- SMALL_COHERE_V2
- EMBED_COHERE
- LLAMA2_70
- LARGE_GENERIC
- LARGE_COHERE_V2_2
- LARGE_GENERIC_4
** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values
- Dictionary<string, string>
- (Updatable) 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
- (Updatable) An optional description of the dedicated AI cluster.
- Display
Name string - (Updatable) A user-friendly name. Does not have to be unique, and it's changeable.
- Dictionary<string, string>
- (Updatable) 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"}
- Compartment
Id string - (Updatable) The compartment OCID to create the dedicated AI cluster in.
- Type string
The dedicated AI cluster type indicating whether this is a fine-tuning/training processor or hosting/inference processor.
Allowed values are:
- HOSTING
- FINE_TUNING
- Unit
Count int - (Updatable) The number of dedicated units in this AI cluster.
- Unit
Shape string The shape of dedicated unit in this AI cluster. The underlying hardware configuration is hidden from customers.
Allowed values are:
- LARGE_COHERE
- LARGE_COHERE_V2
- SMALL_COHERE
- SMALL_COHERE_V2
- EMBED_COHERE
- LLAMA2_70
- LARGE_GENERIC
- LARGE_COHERE_V2_2
- LARGE_GENERIC_4
** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values
- map[string]string
- (Updatable) 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
- (Updatable) An optional description of the dedicated AI cluster.
- Display
Name string - (Updatable) A user-friendly name. Does not have to be unique, and it's changeable.
- map[string]string
- (Updatable) 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"}
- compartment
Id String - (Updatable) The compartment OCID to create the dedicated AI cluster in.
- type String
The dedicated AI cluster type indicating whether this is a fine-tuning/training processor or hosting/inference processor.
Allowed values are:
- HOSTING
- FINE_TUNING
- unit
Count Integer - (Updatable) The number of dedicated units in this AI cluster.
- unit
Shape String The shape of dedicated unit in this AI cluster. The underlying hardware configuration is hidden from customers.
Allowed values are:
- LARGE_COHERE
- LARGE_COHERE_V2
- SMALL_COHERE
- SMALL_COHERE_V2
- EMBED_COHERE
- LLAMA2_70
- LARGE_GENERIC
- LARGE_COHERE_V2_2
- LARGE_GENERIC_4
** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values
- Map<String,String>
- (Updatable) 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
- (Updatable) An optional description of the dedicated AI cluster.
- display
Name String - (Updatable) A user-friendly name. Does not have to be unique, and it's changeable.
- Map<String,String>
- (Updatable) 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"}
- compartment
Id string - (Updatable) The compartment OCID to create the dedicated AI cluster in.
- type string
The dedicated AI cluster type indicating whether this is a fine-tuning/training processor or hosting/inference processor.
Allowed values are:
- HOSTING
- FINE_TUNING
- unit
Count number - (Updatable) The number of dedicated units in this AI cluster.
- unit
Shape string The shape of dedicated unit in this AI cluster. The underlying hardware configuration is hidden from customers.
Allowed values are:
- LARGE_COHERE
- LARGE_COHERE_V2
- SMALL_COHERE
- SMALL_COHERE_V2
- EMBED_COHERE
- LLAMA2_70
- LARGE_GENERIC
- LARGE_COHERE_V2_2
- LARGE_GENERIC_4
** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values
- {[key: string]: string}
- (Updatable) 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
- (Updatable) An optional description of the dedicated AI cluster.
- display
Name string - (Updatable) A user-friendly name. Does not have to be unique, and it's changeable.
- {[key: string]: string}
- (Updatable) 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"}
- compartment_
id str - (Updatable) The compartment OCID to create the dedicated AI cluster in.
- type str
The dedicated AI cluster type indicating whether this is a fine-tuning/training processor or hosting/inference processor.
Allowed values are:
- HOSTING
- FINE_TUNING
- unit_
count int - (Updatable) 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.
Allowed values are:
- LARGE_COHERE
- LARGE_COHERE_V2
- SMALL_COHERE
- SMALL_COHERE_V2
- EMBED_COHERE
- LLAMA2_70
- LARGE_GENERIC
- LARGE_COHERE_V2_2
- LARGE_GENERIC_4
** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values
- Mapping[str, str]
- (Updatable) 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
- (Updatable) An optional description of the dedicated AI cluster.
- display_
name str - (Updatable) A user-friendly name. Does not have to be unique, and it's changeable.
- Mapping[str, str]
- (Updatable) 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"}
- compartment
Id String - (Updatable) The compartment OCID to create the dedicated AI cluster in.
- type String
The dedicated AI cluster type indicating whether this is a fine-tuning/training processor or hosting/inference processor.
Allowed values are:
- HOSTING
- FINE_TUNING
- unit
Count Number - (Updatable) The number of dedicated units in this AI cluster.
- unit
Shape String The shape of dedicated unit in this AI cluster. The underlying hardware configuration is hidden from customers.
Allowed values are:
- LARGE_COHERE
- LARGE_COHERE_V2
- SMALL_COHERE
- SMALL_COHERE_V2
- EMBED_COHERE
- LLAMA2_70
- LARGE_GENERIC
- LARGE_COHERE_V2_2
- LARGE_GENERIC_4
** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values
- Map<String>
- (Updatable) 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
- (Updatable) An optional description of the dedicated AI cluster.
- display
Name String - (Updatable) A user-friendly name. Does not have to be unique, and it's changeable.
- Map<String>
- (Updatable) 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"}
Outputs
All input properties are implicitly available as output properties. Additionally, the DedicatedAiCluster resource produces the following output properties:
- Capacities
List<Dedicated
Ai Cluster Capacity> - The total capacity for a dedicated AI cluster.
- Id string
- The provider-assigned unique ID for this managed resource.
- Lifecycle
Details string - A message describing the current state with detail that can provide actionable information.
- State string
- The current state of the dedicated AI cluster.
- Dictionary<string, string>
- System tags for this resource. Each key is predefined and scoped to a namespace. Example:
{"orcl-cloud.free-tier-retained": "true"}
- Time
Created string - The date and time the dedicated AI cluster was created, in the format defined by RFC 3339
- Time
Updated string - The date and time the dedicated AI cluster was updated, in the format defined by RFC 3339
- Capacities
[]Dedicated
Ai Cluster Capacity - The total capacity for a dedicated AI cluster.
- Id string
- The provider-assigned unique ID for this managed resource.
- Lifecycle
Details string - A message describing the current state with detail that can provide actionable information.
- State string
- The current state of the dedicated AI cluster.
- map[string]string
- System tags for this resource. Each key is predefined and scoped to a namespace. Example:
{"orcl-cloud.free-tier-retained": "true"}
- Time
Created string - The date and time the dedicated AI cluster was created, in the format defined by RFC 3339
- Time
Updated string - The date and time the dedicated AI cluster was updated, in the format defined by RFC 3339
- capacities
List<Dedicated
Ai Cluster Capacity> - The total capacity for a dedicated AI cluster.
- id String
- The provider-assigned unique ID for this managed resource.
- lifecycle
Details String - A message describing the current state with detail that can provide actionable information.
- state String
- The current state of the dedicated AI cluster.
- Map<String,String>
- System tags for this resource. Each key is predefined and scoped to a namespace. Example:
{"orcl-cloud.free-tier-retained": "true"}
- time
Created String - The date and time the dedicated AI cluster was created, in the format defined by RFC 3339
- time
Updated String - The date and time the dedicated AI cluster was updated, in the format defined by RFC 3339
- capacities
Dedicated
Ai Cluster Capacity[] - The total capacity for a dedicated AI cluster.
- id string
- The provider-assigned unique ID for this managed resource.
- lifecycle
Details string - A message describing the current state with detail that can provide actionable information.
- state string
- The current state of the dedicated AI cluster.
- {[key: string]: string}
- System tags for this resource. Each key is predefined and scoped to a namespace. Example:
{"orcl-cloud.free-tier-retained": "true"}
- time
Created string - The date and time the dedicated AI cluster was created, in the format defined by RFC 3339
- time
Updated string - The date and time the dedicated AI cluster was updated, in the format defined by RFC 3339
- capacities
Sequence[generativeai.
Dedicated Ai Cluster Capacity] - The total capacity for a dedicated AI cluster.
- id str
- The provider-assigned unique ID for this managed resource.
- lifecycle_
details str - A message describing the current state with detail that can provide actionable information.
- state str
- The current state of the dedicated AI cluster.
- Mapping[str, str]
- 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
- capacities List<Property Map>
- The total capacity for a dedicated AI cluster.
- id String
- The provider-assigned unique ID for this managed resource.
- lifecycle
Details String - A message describing the current state with detail that can provide actionable information.
- state String
- The current state of the dedicated AI cluster.
- Map<String>
- System tags for this resource. Each key is predefined and scoped to a namespace. Example:
{"orcl-cloud.free-tier-retained": "true"}
- time
Created String - The date and time the dedicated AI cluster was created, in the format defined by RFC 3339
- time
Updated String - The date and time the dedicated AI cluster was updated, in the format defined by RFC 3339
Look up Existing DedicatedAiCluster Resource
Get an existing DedicatedAiCluster resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.
public static get(name: string, id: Input<ID>, state?: DedicatedAiClusterState, opts?: CustomResourceOptions): DedicatedAiCluster
@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
capacities: Optional[Sequence[_generativeai.DedicatedAiClusterCapacityArgs]] = None,
compartment_id: Optional[str] = None,
defined_tags: Optional[Mapping[str, str]] = None,
description: Optional[str] = None,
display_name: Optional[str] = None,
freeform_tags: Optional[Mapping[str, str]] = None,
lifecycle_details: Optional[str] = None,
state: Optional[str] = None,
system_tags: Optional[Mapping[str, str]] = None,
time_created: Optional[str] = None,
time_updated: Optional[str] = None,
type: Optional[str] = None,
unit_count: Optional[int] = None,
unit_shape: Optional[str] = None) -> DedicatedAiCluster
func GetDedicatedAiCluster(ctx *Context, name string, id IDInput, state *DedicatedAiClusterState, opts ...ResourceOption) (*DedicatedAiCluster, error)
public static DedicatedAiCluster Get(string name, Input<string> id, DedicatedAiClusterState? state, CustomResourceOptions? opts = null)
public static DedicatedAiCluster get(String name, Output<String> id, DedicatedAiClusterState state, CustomResourceOptions options)
Resource lookup is not supported in YAML
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- resource_name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- Capacities
List<Dedicated
Ai Cluster Capacity> - The total capacity for a dedicated AI cluster.
- Compartment
Id string - (Updatable) The compartment OCID to create the dedicated AI cluster in.
- Dictionary<string, string>
- (Updatable) 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
- (Updatable) An optional description of the dedicated AI cluster.
- Display
Name string - (Updatable) A user-friendly name. Does not have to be unique, and it's changeable.
- Dictionary<string, string>
- (Updatable) 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"}
- Lifecycle
Details string - A message describing the current state with detail that can provide actionable information.
- State string
- The current state of the dedicated AI cluster.
- Dictionary<string, string>
- System tags for this resource. Each key is predefined and scoped to a namespace. Example:
{"orcl-cloud.free-tier-retained": "true"}
- Time
Created string - The date and time the dedicated AI cluster was created, in the format defined by RFC 3339
- Time
Updated 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.
Allowed values are:
- HOSTING
- FINE_TUNING
- Unit
Count int - (Updatable) The number of dedicated units in this AI cluster.
- Unit
Shape string The shape of dedicated unit in this AI cluster. The underlying hardware configuration is hidden from customers.
Allowed values are:
- LARGE_COHERE
- LARGE_COHERE_V2
- SMALL_COHERE
- SMALL_COHERE_V2
- EMBED_COHERE
- LLAMA2_70
- LARGE_GENERIC
- LARGE_COHERE_V2_2
- LARGE_GENERIC_4
** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values
- Capacities
[]Dedicated
Ai Cluster Capacity Args - The total capacity for a dedicated AI cluster.
- Compartment
Id string - (Updatable) The compartment OCID to create the dedicated AI cluster in.
- map[string]string
- (Updatable) 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
- (Updatable) An optional description of the dedicated AI cluster.
- Display
Name string - (Updatable) A user-friendly name. Does not have to be unique, and it's changeable.
- map[string]string
- (Updatable) 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"}
- Lifecycle
Details string - A message describing the current state with detail that can provide actionable information.
- State string
- The current state of the dedicated AI cluster.
- map[string]string
- System tags for this resource. Each key is predefined and scoped to a namespace. Example:
{"orcl-cloud.free-tier-retained": "true"}
- Time
Created string - The date and time the dedicated AI cluster was created, in the format defined by RFC 3339
- Time
Updated 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.
Allowed values are:
- HOSTING
- FINE_TUNING
- Unit
Count int - (Updatable) The number of dedicated units in this AI cluster.
- Unit
Shape string The shape of dedicated unit in this AI cluster. The underlying hardware configuration is hidden from customers.
Allowed values are:
- LARGE_COHERE
- LARGE_COHERE_V2
- SMALL_COHERE
- SMALL_COHERE_V2
- EMBED_COHERE
- LLAMA2_70
- LARGE_GENERIC
- LARGE_COHERE_V2_2
- LARGE_GENERIC_4
** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values
- capacities
List<Dedicated
Ai Cluster Capacity> - The total capacity for a dedicated AI cluster.
- compartment
Id String - (Updatable) The compartment OCID to create the dedicated AI cluster in.
- Map<String,String>
- (Updatable) 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
- (Updatable) An optional description of the dedicated AI cluster.
- display
Name String - (Updatable) A user-friendly name. Does not have to be unique, and it's changeable.
- Map<String,String>
- (Updatable) 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"}
- lifecycle
Details String - A message describing the current state with detail that can provide actionable information.
- state String
- The current state of the dedicated AI cluster.
- Map<String,String>
- System tags for this resource. Each key is predefined and scoped to a namespace. Example:
{"orcl-cloud.free-tier-retained": "true"}
- time
Created String - The date and time the dedicated AI cluster was created, in the format defined by RFC 3339
- time
Updated 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.
Allowed values are:
- HOSTING
- FINE_TUNING
- unit
Count Integer - (Updatable) The number of dedicated units in this AI cluster.
- unit
Shape String The shape of dedicated unit in this AI cluster. The underlying hardware configuration is hidden from customers.
Allowed values are:
- LARGE_COHERE
- LARGE_COHERE_V2
- SMALL_COHERE
- SMALL_COHERE_V2
- EMBED_COHERE
- LLAMA2_70
- LARGE_GENERIC
- LARGE_COHERE_V2_2
- LARGE_GENERIC_4
** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values
- capacities
Dedicated
Ai Cluster Capacity[] - The total capacity for a dedicated AI cluster.
- compartment
Id string - (Updatable) The compartment OCID to create the dedicated AI cluster in.
- {[key: string]: string}
- (Updatable) 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
- (Updatable) An optional description of the dedicated AI cluster.
- display
Name string - (Updatable) A user-friendly name. Does not have to be unique, and it's changeable.
- {[key: string]: string}
- (Updatable) 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"}
- lifecycle
Details string - A message describing the current state with detail that can provide actionable information.
- state string
- The current state of the dedicated AI cluster.
- {[key: string]: string}
- System tags for this resource. Each key is predefined and scoped to a namespace. Example:
{"orcl-cloud.free-tier-retained": "true"}
- time
Created string - The date and time the dedicated AI cluster was created, in the format defined by RFC 3339
- time
Updated 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.
Allowed values are:
- HOSTING
- FINE_TUNING
- unit
Count number - (Updatable) The number of dedicated units in this AI cluster.
- unit
Shape string The shape of dedicated unit in this AI cluster. The underlying hardware configuration is hidden from customers.
Allowed values are:
- LARGE_COHERE
- LARGE_COHERE_V2
- SMALL_COHERE
- SMALL_COHERE_V2
- EMBED_COHERE
- LLAMA2_70
- LARGE_GENERIC
- LARGE_COHERE_V2_2
- LARGE_GENERIC_4
** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values
- capacities
Sequence[generativeai.
Dedicated Ai Cluster Capacity Args] - The total capacity for a dedicated AI cluster.
- compartment_
id str - (Updatable) The compartment OCID to create the dedicated AI cluster in.
- Mapping[str, str]
- (Updatable) 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
- (Updatable) An optional description of the dedicated AI cluster.
- display_
name str - (Updatable) A user-friendly name. Does not have to be unique, and it's changeable.
- Mapping[str, str]
- (Updatable) 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"}
- lifecycle_
details str - A message describing the current state with detail that can provide actionable information.
- state str
- The current state of the dedicated AI cluster.
- Mapping[str, str]
- 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.
Allowed values are:
- HOSTING
- FINE_TUNING
- unit_
count int - (Updatable) 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.
Allowed values are:
- LARGE_COHERE
- LARGE_COHERE_V2
- SMALL_COHERE
- SMALL_COHERE_V2
- EMBED_COHERE
- LLAMA2_70
- LARGE_GENERIC
- LARGE_COHERE_V2_2
- LARGE_GENERIC_4
** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values
- capacities List<Property Map>
- The total capacity for a dedicated AI cluster.
- compartment
Id String - (Updatable) The compartment OCID to create the dedicated AI cluster in.
- Map<String>
- (Updatable) 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
- (Updatable) An optional description of the dedicated AI cluster.
- display
Name String - (Updatable) A user-friendly name. Does not have to be unique, and it's changeable.
- Map<String>
- (Updatable) 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"}
- lifecycle
Details String - A message describing the current state with detail that can provide actionable information.
- state String
- The current state of the dedicated AI cluster.
- Map<String>
- System tags for this resource. Each key is predefined and scoped to a namespace. Example:
{"orcl-cloud.free-tier-retained": "true"}
- time
Created String - The date and time the dedicated AI cluster was created, in the format defined by RFC 3339
- time
Updated 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.
Allowed values are:
- HOSTING
- FINE_TUNING
- unit
Count Number - (Updatable) The number of dedicated units in this AI cluster.
- unit
Shape String The shape of dedicated unit in this AI cluster. The underlying hardware configuration is hidden from customers.
Allowed values are:
- LARGE_COHERE
- LARGE_COHERE_V2
- SMALL_COHERE
- SMALL_COHERE_V2
- EMBED_COHERE
- LLAMA2_70
- LARGE_GENERIC
- LARGE_COHERE_V2_2
- LARGE_GENERIC_4
** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values
Supporting Types
DedicatedAiClusterCapacity, DedicatedAiClusterCapacityArgs
- Capacity
Type string - The type of the dedicated AI cluster capacity.
- Total
Endpoint intCapacity - The total number of endpoints that can be hosted on this dedicated AI cluster.
- Used
Endpoint intCapacity - The number of endpoints hosted on this dedicated AI cluster.
- Capacity
Type string - The type of the dedicated AI cluster capacity.
- Total
Endpoint intCapacity - The total number of endpoints that can be hosted on this dedicated AI cluster.
- Used
Endpoint intCapacity - The number of endpoints hosted on this dedicated AI cluster.
- capacity
Type String - The type of the dedicated AI cluster capacity.
- total
Endpoint IntegerCapacity - The total number of endpoints that can be hosted on this dedicated AI cluster.
- used
Endpoint IntegerCapacity - The number of endpoints hosted on this dedicated AI cluster.
- capacity
Type string - The type of the dedicated AI cluster capacity.
- total
Endpoint numberCapacity - The total number of endpoints that can be hosted on this dedicated AI cluster.
- used
Endpoint numberCapacity - The number of endpoints hosted on this dedicated AI cluster.
- capacity_
type str - The type of the dedicated AI cluster capacity.
- total_
endpoint_ intcapacity - The total number of endpoints that can be hosted on this dedicated AI cluster.
- used_
endpoint_ intcapacity - The number of endpoints hosted on this dedicated AI cluster.
- capacity
Type String - The type of the dedicated AI cluster capacity.
- total
Endpoint NumberCapacity - The total number of endpoints that can be hosted on this dedicated AI cluster.
- used
Endpoint NumberCapacity - The number of endpoints hosted on this dedicated AI cluster.
Import
DedicatedAiClusters can be imported using the id
, e.g.
$ pulumi import oci:GenerativeAi/dedicatedAiCluster:DedicatedAiCluster test_dedicated_ai_cluster "id"
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- oci pulumi/pulumi-oci
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
oci
Terraform Provider.