Microsoft.MachineLearningServices workspaces/inferencePools/endpoints 2024-10-01-preview
Bicep resource definition
The workspaces/inferencePools/endpoints resource type can be deployed with operations that target:
- Resource groups - See resource group deployment commands
For a list of changed properties in each API version, see change log.
Resource format
To create a Microsoft.MachineLearningServices/workspaces/inferencePools/endpoints resource, add the following Bicep to your template.
resource symbolicname 'Microsoft.MachineLearningServices/workspaces/inferencePools/endpoints@2024-10-01-preview' = {
identity: {
type: 'string'
userAssignedIdentities: {
{customized property}: {}
}
}
kind: 'string'
location: 'string'
name: 'string'
properties: {
authMode: 'string'
description: 'string'
groupName: 'string'
properties: [
{
key: 'string'
value: 'string'
}
]
requestConfiguration: {
maxConcurrentRequestsPerInstance: int
requestTimeout: 'string'
}
}
sku: {
capacity: int
family: 'string'
name: 'string'
size: 'string'
tier: 'string'
}
tags: {
{customized property}: 'string'
}
}
Property values
InferenceEndpointProperties
Name | Description | Value |
---|---|---|
authMode | [Required] Authentication mode for the endpoint. | 'AAD' (required) |
description | Description of the resource. | string |
groupName | [Required] Group within the same pool with which this endpoint needs to be associated with. | string Constraints: Min length = 1 Pattern = [a-zA-Z0-9_] (required) |
properties | Property dictionary. Properties can be added, but not removed or altered. | StringKeyValuePair[] |
requestConfiguration | RequestConfiguration for endpoint. | RequestConfiguration |
ManagedServiceIdentity
Name | Description | Value |
---|---|---|
type | Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed). | 'None' 'SystemAssigned' 'SystemAssigned,UserAssigned' 'UserAssigned' (required) |
userAssignedIdentities | The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests. | UserAssignedIdentities |
Microsoft.MachineLearningServices/workspaces/inferencePools/endpoints
Name | Description | Value |
---|---|---|
identity | Managed service identity (system assigned and/or user assigned identities) | ManagedServiceIdentity |
kind | Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type. | string |
location | The geo-location where the resource lives | string (required) |
name | The resource name | string Constraints: Pattern = ^[a-zA-Z0-9][a-zA-Z0-9\-_]{0,254}$ (required) |
parent | In Bicep, you can specify the parent resource for a child resource. You only need to add this property when the child resource is declared outside of the parent resource. For more information, see Child resource outside parent resource. |
Symbolic name for resource of type: workspaces/inferencePools |
properties | [Required] Additional attributes of the entity. | InferenceEndpointProperties (required) |
sku | Sku details required for ARM contract for Autoscaling. | Sku |
tags | Resource tags | Dictionary of tag names and values. See Tags in templates |
RequestConfiguration
Name | Description | Value |
---|---|---|
maxConcurrentRequestsPerInstance | The number of maximum concurrent requests per node allowed per deployment. Defaults to 1. | int |
requestTimeout | The scoring timeout in ISO 8601 format. Defaults to 5000ms. |
string |
Sku
Name | Description | Value |
---|---|---|
capacity | If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted. | int |
family | If the service has different generations of hardware, for the same SKU, then that can be captured here. | string |
name | The name of the SKU. Ex - P3. It is typically a letter+number code | string (required) |
size | The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code. | string |
tier | This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT. | 'Basic' 'Free' 'Premium' 'Standard' |
StringKeyValuePair
Name | Description | Value |
---|---|---|
key | string | |
value | string |
TrackedResourceTags
Name | Description | Value |
---|
UserAssignedIdentities
Name | Description | Value |
---|
UserAssignedIdentity
Name | Description | Value |
---|
ARM template resource definition
The workspaces/inferencePools/endpoints resource type can be deployed with operations that target:
- Resource groups - See resource group deployment commands
For a list of changed properties in each API version, see change log.
Resource format
To create a Microsoft.MachineLearningServices/workspaces/inferencePools/endpoints resource, add the following JSON to your template.
{
"type": "Microsoft.MachineLearningServices/workspaces/inferencePools/endpoints",
"apiVersion": "2024-10-01-preview",
"name": "string",
"identity": {
"type": "string",
"userAssignedIdentities": {
"{customized property}": {
}
}
},
"kind": "string",
"location": "string",
"properties": {
"authMode": "string",
"description": "string",
"groupName": "string",
"properties": [
{
"key": "string",
"value": "string"
}
],
"requestConfiguration": {
"maxConcurrentRequestsPerInstance": "int",
"requestTimeout": "string"
}
},
"sku": {
"capacity": "int",
"family": "string",
"name": "string",
"size": "string",
"tier": "string"
},
"tags": {
"{customized property}": "string"
}
}
Property values
InferenceEndpointProperties
Name | Description | Value |
---|---|---|
authMode | [Required] Authentication mode for the endpoint. | 'AAD' (required) |
description | Description of the resource. | string |
groupName | [Required] Group within the same pool with which this endpoint needs to be associated with. | string Constraints: Min length = 1 Pattern = [a-zA-Z0-9_] (required) |
properties | Property dictionary. Properties can be added, but not removed or altered. | StringKeyValuePair[] |
requestConfiguration | RequestConfiguration for endpoint. | RequestConfiguration |
ManagedServiceIdentity
Name | Description | Value |
---|---|---|
type | Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed). | 'None' 'SystemAssigned' 'SystemAssigned,UserAssigned' 'UserAssigned' (required) |
userAssignedIdentities | The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests. | UserAssignedIdentities |
Microsoft.MachineLearningServices/workspaces/inferencePools/endpoints
Name | Description | Value |
---|---|---|
apiVersion | The api version | '2024-10-01-preview' |
identity | Managed service identity (system assigned and/or user assigned identities) | ManagedServiceIdentity |
kind | Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type. | string |
location | The geo-location where the resource lives | string (required) |
name | The resource name | string Constraints: Pattern = ^[a-zA-Z0-9][a-zA-Z0-9\-_]{0,254}$ (required) |
properties | [Required] Additional attributes of the entity. | InferenceEndpointProperties (required) |
sku | Sku details required for ARM contract for Autoscaling. | Sku |
tags | Resource tags | Dictionary of tag names and values. See Tags in templates |
type | The resource type | 'Microsoft.MachineLearningServices/workspaces/inferencePools/endpoints' |
RequestConfiguration
Name | Description | Value |
---|---|---|
maxConcurrentRequestsPerInstance | The number of maximum concurrent requests per node allowed per deployment. Defaults to 1. | int |
requestTimeout | The scoring timeout in ISO 8601 format. Defaults to 5000ms. |
string |
Sku
Name | Description | Value |
---|---|---|
capacity | If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted. | int |
family | If the service has different generations of hardware, for the same SKU, then that can be captured here. | string |
name | The name of the SKU. Ex - P3. It is typically a letter+number code | string (required) |
size | The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code. | string |
tier | This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT. | 'Basic' 'Free' 'Premium' 'Standard' |
StringKeyValuePair
Name | Description | Value |
---|---|---|
key | string | |
value | string |
TrackedResourceTags
Name | Description | Value |
---|
UserAssignedIdentities
Name | Description | Value |
---|
UserAssignedIdentity
Name | Description | Value |
---|
Terraform (AzAPI provider) resource definition
The workspaces/inferencePools/endpoints resource type can be deployed with operations that target:
- Resource groups
For a list of changed properties in each API version, see change log.
Resource format
To create a Microsoft.MachineLearningServices/workspaces/inferencePools/endpoints resource, add the following Terraform to your template.
resource "azapi_resource" "symbolicname" {
type = "Microsoft.MachineLearningServices/workspaces/inferencePools/endpoints@2024-10-01-preview"
name = "string"
identity = {
type = "string"
userAssignedIdentities = {
{customized property} = {
}
}
}
kind = "string"
location = "string"
body = jsonencode({
properties = {
authMode = "string"
description = "string"
groupName = "string"
properties = [
{
key = "string"
value = "string"
}
]
requestConfiguration = {
maxConcurrentRequestsPerInstance = int
requestTimeout = "string"
}
}
})
sku = {
capacity = int
family = "string"
name = "string"
size = "string"
tier = "string"
}
tags = {
{customized property} = "string"
}
}
Property values
InferenceEndpointProperties
Name | Description | Value |
---|---|---|
authMode | [Required] Authentication mode for the endpoint. | 'AAD' (required) |
description | Description of the resource. | string |
groupName | [Required] Group within the same pool with which this endpoint needs to be associated with. | string Constraints: Min length = 1 Pattern = [a-zA-Z0-9_] (required) |
properties | Property dictionary. Properties can be added, but not removed or altered. | StringKeyValuePair[] |
requestConfiguration | RequestConfiguration for endpoint. | RequestConfiguration |
ManagedServiceIdentity
Name | Description | Value |
---|---|---|
type | Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed). | 'None' 'SystemAssigned' 'SystemAssigned,UserAssigned' 'UserAssigned' (required) |
userAssignedIdentities | The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests. | UserAssignedIdentities |
Microsoft.MachineLearningServices/workspaces/inferencePools/endpoints
Name | Description | Value |
---|---|---|
identity | Managed service identity (system assigned and/or user assigned identities) | ManagedServiceIdentity |
kind | Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type. | string |
location | The geo-location where the resource lives | string (required) |
name | The resource name | string Constraints: Pattern = ^[a-zA-Z0-9][a-zA-Z0-9\-_]{0,254}$ (required) |
parent_id | The ID of the resource that is the parent for this resource. | ID for resource of type: workspaces/inferencePools |
properties | [Required] Additional attributes of the entity. | InferenceEndpointProperties (required) |
sku | Sku details required for ARM contract for Autoscaling. | Sku |
tags | Resource tags | Dictionary of tag names and values. |
type | The resource type | "Microsoft.MachineLearningServices/workspaces/inferencePools/endpoints@2024-10-01-preview" |
RequestConfiguration
Name | Description | Value |
---|---|---|
maxConcurrentRequestsPerInstance | The number of maximum concurrent requests per node allowed per deployment. Defaults to 1. | int |
requestTimeout | The scoring timeout in ISO 8601 format. Defaults to 5000ms. |
string |
Sku
Name | Description | Value |
---|---|---|
capacity | If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted. | int |
family | If the service has different generations of hardware, for the same SKU, then that can be captured here. | string |
name | The name of the SKU. Ex - P3. It is typically a letter+number code | string (required) |
size | The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code. | string |
tier | This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT. | 'Basic' 'Free' 'Premium' 'Standard' |
StringKeyValuePair
Name | Description | Value |
---|---|---|
key | string | |
value | string |
TrackedResourceTags
Name | Description | Value |
---|
UserAssignedIdentities
Name | Description | Value |
---|
UserAssignedIdentity
Name | Description | Value |
---|