Configuring GPU cluster access permissions

Written by

Yandex Cloud

Updated at June 4, 2025

Assigning a role
Assigning multiple roles
Revoking a role

To grant a user, group, or service account access to a GPU cluster, assign a role for it.

Assigning a role

Management console

CLI

Terraform

API

In the management console, select the folder containing the GPU cluster.
Select Compute Cloud.
In the left-hand panel, click and select GPU clusters.
Select the GPU cluster you need.
Go to the Access bindings tab.
Click Assign roles.
In the window that opens, select the group, user, or service account you want to grant access to the GPU cluster.
Click Add role and select the required role.
Click Save.

If you do not have the Yandex Cloud CLI yet, install and initialize it.

By default, the CLI uses the folder specified when creating the profile. To change the default folder, use the yc config set folder-id <folder_ID> command. You can also set a different folder for any specific command using the --folder-name or --folder-id parameter.

See the description of the CLI command for assigning a role for a GPU cluster:
```
yc compute gpu-cluster add-access-binding --help
```
Get a list of GPU clusters in the default folder:
```
yc compute gpu-cluster list
```
View a list of roles already assigned for the resource in question:
```
yc compute gpu-cluster list-access-bindings <GPU_cluster_ID>
```
Assign the role using this command:
- To a user:
```
yc compute gpu-cluster add-access-binding <GPU_cluster_ID> \
  --user-account-id <user_ID> \
  --role <role>
```
  Where:
  - --user-account-id: User ID. To assign a role to all authenticated users, use the --all-authenticated-users flag.
  - --role: Role to assign.
- To a service account:
```
yc compute gpu-cluster add-access-binding <GPU_cluster_ID> \
  --service-account-id <service_account_ID> \
  --role <role>
```
  Where:
  - --service-account-id: Service account ID.
  - --role: Role to assign.

With Terraform, you can quickly create a cloud infrastructure in Yandex Cloud and manage it using configuration files. These files store the infrastructure description written in HashiCorp Configuration Language (HCL). If you change the configuration files, Terraform automatically detects which part of your configuration is already deployed, and what should be added or removed.

Terraform is distributed under the Business Source License. The Yandex Cloud provider for Terraform is distributed under the MPL-2.0 license.

For more information about the provider resources, see the documentation on the Terraform website or its mirror.

If you do not have Terraform yet, install it and configure its Yandex Cloud provider.

To assign a role to access a GPU cluster using Terraform:

In the Terraform configuration file, define the parameters of the resources you want to create:
```
resource "yandex_compute_gpu_cluster_iam_binding" "sa-access" {
  gpu_cluster_id = "<GPU_cluster_ID>"
  role           = "<role>"
  members        = ["<subject_type>:<subject_ID>"]
}
```
Where:
- gpu_cluster_id: GPU cluster ID.
- role: Role to assign.
- members: List of types and IDs of subjects getting the role. Specify it as userAccount:<user_ID> or serviceAccount:<service_account_ID>.
For more information about the yandex_compute_gpu_cluster_iam_binding resource parameters, see the relevant provider documentation.
Apply the changes:
1. In the terminal, go to the directory where you edited the configuration file.
2. Make sure the configuration file is correct using this command:
```
terraform validate
```
  If the configuration is correct, you will get this message:
```
Success! The configuration is valid.
```
3. Run this command:
```
terraform plan
```
  You will see a detailed list of resources. No changes will be made at this step. If the configuration contains any errors, Terraform will show them.
4. Apply the changes:
```
terraform apply
```
5. Type yes and press Enter to confirm the changes.
Terraform will create all the required resources. You can check the updates using the management console or this CLI command:
```
yc compute gpu-cluster list-access-bindings <GPU_cluster_ID>
```

To assign a role, use the updateAccessBindings REST API method for the GpuCluster resource or the GpuClusterService/UpdateAccessBindings gRPC API call. In the request body, set the action property to ADD and specify the user type and ID under subject.

Assigning multiple roles

Management console

CLI

Terraform

API

In the management console, select the folder containing the GPU cluster.
Select Compute Cloud.
In the left-hand panel, click and select GPU clusters.
Select the GPU cluster you need.
Go to the Access bindings tab.
Click Assign roles.
In the window that opens, select the group, user, or service account you want to grant access to the GPU cluster.
Click Add role and select the required role.
To add another role, click Add role.
Click Save.

If you do not have the Yandex Cloud CLI yet, install and initialize it.

You can assign multiple roles using the set-access-bindings command.

Alert

The set-access-bindings command completely rewrites access permissions for the resource. All current roles for the resource will be deleted.

Make sure the resource has no roles assigned that you would not want to lose:
```
yc compute gpu-cluster list-access-bindings <GPU_cluster_ID>
```
See the description of the CLI command for assigning roles for a GPU cluster:
```
yc compute gpu-cluster set-access-bindings --help
```

Assign roles:

yc compute gpu-cluster set-access-bindings <GPU_cluster_ID> \
  --access-binding role=<role>,subject=<subject_type>:<subject_ID> \
  --access-binding role=<role>,subject=<subject_type>:<subject_ID>

Where:

--access-binding: Parameters for setting access permissions:
- role: Role to assign.
- subject: Type and ID of the subject getting the role.

For example, this command will assign roles to multiple users and a single service account:

yc compute gpu-cluster set-access-bindings my-gpu-cluster \
  --access-binding role=editor,subject=userAccount:gfei8n54hmfh********
  --access-binding role=viewer,subject=userAccount:helj89sfj80a********
  --access-binding role=editor,subject=serviceAccount:ajel6l0jcb9s********

Terraform is distributed under the Business Source License. The Yandex Cloud provider for Terraform is distributed under the MPL-2.0 license.

For more information about the provider resources, see the documentation on the Terraform website or its mirror.

If you do not have Terraform yet, install it and configure its Yandex Cloud provider.

To assign multiple roles for a file storage using Terraform:

In the Terraform configuration file, define the parameters of the resources you want to create:
```
resource "yandex_compute_gpu_cluster_iam_binding" "role1" {
  gpu_cluster_id = "<GPU_cluster_ID>"
  role           = "<role_1>"
  members        = ["<subject_type>:<subject_ID>"]
}

resource "yandex_compute_gpu_cluster_iam_binding" "role2" {
  gpu_cluster_id = "<GPU_cluster_ID>"
  role           = "<role_2>"
  members        = ["<subject_type>:<subject_ID>"]
}
```
Where:
- gpu_cluster_id: GPU cluster ID.
- role: Role to assign.
- members: List of types and IDs of subjects getting the role. Specify it as userAccount:<user_ID> or serviceAccount:<service_account_ID>.
For more information about the yandex_compute_gpu_cluster_iam_binding resource parameters, see the relevant provider documentation.
Apply the changes:
1. In the terminal, go to the directory where you edited the configuration file.
2. Make sure the configuration file is correct using this command:
```
terraform validate
```
  If the configuration is correct, you will get this message:
```
Success! The configuration is valid.
```
3. Run this command:
```
terraform plan
```
  You will see a detailed list of resources. No changes will be made at this step. If the configuration contains any errors, Terraform will show them.
4. Apply the changes:
```
terraform apply
```
5. Type yes and press Enter to confirm the changes.
Terraform will create all the required resources. You can check the updates using the management console or this CLI command:
```
yc compute gpu-cluster list-access-bindings <GPU_cluster_ID>
```

To assign roles for a GPU cluster, use the setAccessBindings REST API method for the GpuCluster resource or the GpuClusterService/SetAccessBindings gRPC API call.

Alert

The set-access-binding method and the GpuClusterService/SetAccessBindings call completely overwrite access permissions for the resource. All current roles for the resource will be deleted.

Revoking a role

Management console

CLI

Terraform

API

In the management console, select the folder containing the GPU cluster.
Select Compute Cloud.
In the left-hand panel, click and select GPU clusters.
Select the GPU cluster you need.
Go to the Access bindings tab.
In the line with the user in question, click and select Edit roles.
Next to the role, click .
Click Save.

If you do not have the Yandex Cloud CLI yet, install and initialize it.

See the description of the CLI command for revoking a role for a GPU cluster:
```
yc compute gpu-cluster remove-access-binding --help
```

View the roles and assignees for the resource:

yc compute gpu-cluster list-access-bindings <GPU_cluster_ID>

To revoke access permissions, run this command:
```
yc compute gpu-cluster remove-access-binding <GPU_cluster_ID> \
  --role=<role> \
  --subject=<subject_type>:<subject_ID> \
```
Where:
- --role: ID of the role to revoke.
- --subject: Type and ID of the subject to revoke the role from.
For example, this command revokes the viewer role for the GPU cluster from a user with the ajel6l0jcb9s******** ID:
```
yc compute gpu-cluster remove-access-binding my-gpu-cluster \
  --role viewer \
  --subject userAccount:ajel6l0jcb9s********
```

Terraform is distributed under the Business Source License. The Yandex Cloud provider for Terraform is distributed under the MPL-2.0 license.

For more information about the provider resources, see the documentation on the Terraform website or its mirror.

If you do not have Terraform yet, install it and configure its Yandex Cloud provider.

To revoke a role assigned for a GPU cluster using Terraform:

Open the Terraform configuration file and delete the section specifying the role:

resource "yandex_compute_gpu_cluster_iam_binding" "sa-access" {
  gpu_cluster_id = "<GPU_cluster_ID>"
  role           = "<role>"
  members        = ["<subject_type>:<subject_ID>"]
}

Apply the changes:
1. In the terminal, go to the directory where you edited the configuration file.
2. Make sure the configuration file is correct using this command:
```
terraform validate
```
  If the configuration is correct, you will get this message:
```
Success! The configuration is valid.
```
3. Run this command:
```
terraform plan
```
  You will see a detailed list of resources. No changes will be made at this step. If the configuration contains any errors, Terraform will show them.
4. Apply the changes:
```
terraform apply
```
5. Type yes and press Enter to confirm the changes.
You can check the updates using the management console or this CLI command:
```
yc compute gpu-cluster list-access-bindings <GPU_cluster_ID>
```

To revoke a role, use the updateAccessBindings REST API method for the GpuCluster resource or the GpuClusterService/UpdateAccessBindings gRPC API call. In the request body, set the action property to REMOVE and specify the user type and ID under subject.

Configuring GPU cluster access permissions

Assigning a roleAssigning a role

Assigning multiple rolesAssigning multiple roles

Revoking a roleRevoking a role

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Assigning a role

Assigning multiple roles

Revoking a role