Configuring GPU cluster access permissions
To grant a user, group, or service account access to a GPU cluster, assign a role for it.
Assigning a role
- In the management console
, select the folder containing a GPU cluster. - Select Compute Cloud.
- In the left-hand panel, select
→ GPU clusters. - Select the GPU cluster you need.
- Go to the
Access bindings tab. - Click Assign bindings.
- In the window that opens, select the group, user, or service account 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 command line interface yet, install and initialize it.
The folder specified in the CLI profile is used by default. You can specify a different folder using the --folder-name
or --folder-id
parameter.
-
See the CLI command description 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 the list of roles already assigned for the resource:
yc compute gpu-cluster list-access-bindings <GPU_cluster_ID>
-
Assign the role using the command:
-
To a user:
yc compute gpu-cluster add-access-binding <GPU_cluster_ID> \ --user-account-id <user_ID> \ --role <role>
Where:
-
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.
-
Terraform
For more information about the provider resources, see the documentation on the Terraform
If you change the configuration files, Terraform automatically detects which part of your configuration is already deployed, and what should be added or removed.
If you don't have Terraform, install it and configure the Yandex Cloud provider.
To assign a role to access a GPU cluster using Terraform:
-
In the Terraform configuration file, describe 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 the role is assigned to. Specify it asuserAccount:<user_ID>
orserviceAccount:<service_account_ID>
.
For more information about the
yandex_compute_gpu_cluster_iam_binding
resource parameters, see the provider documentation . -
Apply the changes:
-
In the terminal, change to the folder where you edited the configuration file.
-
Make sure the configuration file is correct using the command:
terraform validate
If the configuration is correct, the following message is returned:
Success! The configuration is valid.
-
Run the command:
terraform plan
The terminal will display a list of resources with parameters. No changes are made at this step. If the configuration contains errors, Terraform will point them out.
-
Apply the configuration changes:
terraform apply
-
Confirm the changes: type
yes
in the terminal and press Enter.
Terraform will create all the required resources. You can check the update 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
- In the management console
, select the folder containing a GPU cluster. - Select Compute Cloud.
- In the left-hand panel, select
→ GPU clusters. - Select the GPU cluster you need.
- Go to the
Access bindings tab. - Click Assign bindings.
- In the window that opens, select the group, user, or service account 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 command line interface yet, install and initialize it.
The folder specified in the CLI profile is used by default. You can specify a different folder using the --folder-name
or --folder-id
parameter.
You can assign multiple roles using the set-access-bindings
command.
Alert
The set-access-bindings
command completely rewrites the access permissions for the resource. All current resource roles 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 CLI command description 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:
For example, assign roles to multiple users and a 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
For more information about the provider resources, see the documentation on the Terraform
If you change the configuration files, Terraform automatically detects which part of your configuration is already deployed, and what should be added or removed.
If you don't have Terraform, install it and configure the Yandex Cloud provider.
To assign multiple roles for file storage using Terraform:
-
In the Terraform configuration file, describe 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 the role is assigned to. Specify it asuserAccount:<user_ID>
orserviceAccount:<service_account_ID>
.
For more information about the
yandex_compute_gpu_cluster_iam_binding
resource parameters, see the provider documentation . -
Apply the changes:
-
In the terminal, change to the folder where you edited the configuration file.
-
Make sure the configuration file is correct using the command:
terraform validate
If the configuration is correct, the following message is returned:
Success! The configuration is valid.
-
Run the command:
terraform plan
The terminal will display a list of resources with parameters. No changes are made at this step. If the configuration contains errors, Terraform will point them out.
-
Apply the configuration changes:
terraform apply
-
Confirm the changes: type
yes
in the terminal and press Enter.
Terraform will create all the required resources. You can check the update using the management console
or this CLI command:yc compute gpu-cluster list-access-bindings <GPU_cluster_ID>
-
To assign roles for a resource, use the setAccessBindings REST API method for the GpuCluster resource or the GpuClusterService/SetAccessBindings gRPC API call.
Alert
The setAccessBindings
method and the GpuClusterService/SetAccessBindings
call completely rewrite the resource access permissions. All current resource roles will be deleted.
Revoking a role
- In the management console
, select the folder containing a GPU cluster. - Select Compute Cloud.
- In the left-hand panel, select
→ GPU clusters. - Select the GPU cluster you need.
- Go to the
Access bindings tab. - In the line with the user you need, click
and select Edit roles. - Next to the role, click
. - Click Save.
If you do not have the Yandex Cloud command line interface yet, install and initialize it.
The folder specified in the CLI profile is used by default. You can specify a different folder using the --folder-name
or --folder-id
parameter.
-
See the CLI command description 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 getting the role.
For example, to revoke the
viewer
role for a GPU cluster from a user with theajel6l0jcb9s********
ID:yc compute gpu-cluster remove-access-binding my-gpu-cluster \ --role viewer \ --subject userAccount:ajel6l0jcb9s********
Terraform
For more information about the provider resources, see the documentation on the Terraform
If you change the configuration files, Terraform automatically detects which part of your configuration is already deployed, and what should be added or removed.
If you don't have Terraform, install it and configure the Yandex Cloud provider.
To revoke a role assigned for a GPU cluster using Terraform:
-
Open the Terraform configuration file and delete the fragment with the role description.
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:
-
In the terminal, change to the folder where you edited the configuration file.
-
Make sure the configuration file is correct using the command:
terraform validate
If the configuration is correct, the following message is returned:
Success! The configuration is valid.
-
Run the command:
terraform plan
The terminal will display a list of resources with parameters. No changes are made at this step. If the configuration contains errors, Terraform will point them out.
-
Apply the configuration changes:
terraform apply
-
Confirm the changes: type
yes
in the terminal and press Enter.
You can check the update 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
.