How-to guides

Users can create the service by entering the required information for the Multi-node GPU Cluster service and selecting detailed options through the Samsung Cloud Platform Console.

Multi-node GPU Cluster Getting Started

You can create and use a Multi-node GPU Cluster service from the Samsung Cloud Platform Console.

This service consists of a GPU Node and a Cluster Fabric service.

Create GPU Node

Follow the steps below to create a Multi-node GPU Cluster.

1. All Services > Compute > Multi-node GPU Cluster Click the menu. 1. Go to the Service Home page of the Multi-node GPU Cluster.

2. On the Service Home page, click the Create GPU Node button. 2. Navigate to the GPU Node Creation page.

3. On the GPU Node creation page, enter the information required to create the service, and select detailed options.

   • Select the required information in the Image and Version Selection area.

     Category	required status	Detailed description
     image	Required	Select the type of image provided Ubuntu
     Image version	Required	Select version of the selected image Provide version list of the provided server image

     Table. GPU Node image and version selection options
   • Enter or select the required information in the Service Information Input area.

     Category	required status	Detailed description
     Number of servers	Required	Number of GPU Node servers to create simultaneously Only numeric input is allowed, and the minimum number of servers to create is 2. When initially configuring, you must create at least 2, and expansions can be done one at a time.
     Service Type > Server Type	Required	GPU Node server type Select the desired CPU, Memory, GPU, and Disk specifications For detailed information about the server types provided by GPU Node, refer to Multi-node GPU Cluster server type
     Service Type > Planned Compute	Required	Planned Compute가 설정된 자원 현황 In Use: Number of resources with Planned Compute that are currently in use Configured: Number of resources with Planned Compute set Coverage Preview: Amount applied per resource by Planned Compute Apply for Planned Compute Service: Go to the Planned Compute service application page For more details, see Planned Compute 신청하기

     Table. GPU Node Service Information Input Items
   • In the Required Information Input area, enter or select the required information.

     Category	required status	Detailed description
     Administrator account	Required	Set the administrator account and password to be used when connecting to the server Ubuntu OS is provided with a fixed root account
     Server name Prefix	Required	Enter a prefix to distinguish each GPU Node generated when the selected number of servers is 2 or more Automatically generated in the form of user input value (prefix) + ‘-###’ Must start with a lowercase English letter and be entered using lowercase letters, numbers, and special characters (-) within 3 to 11 characters Must not end with a special character (-)
     Network Settings	Required	Set the network where the GPU Node will be installed VPC Name: Select a pre‑created VPC General Subnet Name: Select a pre‑created standard Subnet IP can be Auto‑generated or Manual Input; if Manual Input is selected, the user enters the IP directly NAT: Available only when there is a single server and the VPC is attached to an Internet Gateway. Checking the option allows selection of a NAT IP. (Initially, only configurations with two or more servers can be created, so modify on the resource detail page) NAT IP: Select a NAT IP If no NAT IP is available to select, click the Create New button to generate a Public IP Refresh button to view and select the created Public IP Creating a Public IP incurs charges according to the Public IP pricing policy

     Table. GPU Node required information input items
   • In the Cluster Selection area, create or select a Cluster Fabric.

     Category	required status	Detailed description
     Cluster Fabric	Required	Configuration of GPU Node server groups that can apply GPU Direct RDMA together Optimal GPU performance and speed can be secured only within the same Cluster Fabric When creating a new Cluster Fabric, *New Input > select Node pool, then enter the name of the Cluster Fabric to be created To add to an existing Cluster Fabric, Existing Input > select Node pool, then choose the previously created Cluster Fabric

     Table. GPU Node Cluster Fabric options
   • In the Additional Information Input area, enter or select the required information.

     Category	required status	Detailed description
     Lock	Selection	Using a lock prevents actions caused by mistakes, such as terminating, starting, or stopping the server.
     Init Script	Selection	Script to run at server startup The Init Script must be selected differently depending on the image type For Linux: Choose Shell Script or cloud-init
     tag	Selection	Add Tag You can add up to 50 per resource After clicking the Add Tag button, enter or select Key, Value values

     Table. GPU Node additional information input fields

4. Summary Check the detailed information and estimated billing amount generated in the panel, and click the Create button.

5. When the popup notifying creation opens, click the Confirm button.

   • When creation is complete, check the created resources on the GPU Node List page.

Check GPU Node detailed information

The Multi-node GPU Cluster service can view and modify the full list of GPU Node resources and detailed information.

GPU Node Details page consists of Details, Tags, Job History tabs.

To view detailed information about the GPU Node, follow these steps.

1. Click the All Services > Compute > Multi-node GPU Cluster > GPU Node menu. 1. Go to the Service Home page of the Multi-node GPU Cluster.

2. On the Service Home page, click the GPU Node menu. 2. Go to the GPU Node list page.

   • Resource items other than the required columns can be added through the Settings button.

     Category	required status	Detailed description
     Resource ID	Selection	User-created GPU Node ID
     Cluster Fabric name	Required	User-created Cluster Fabric name
     Server name	Required	User-created GPU Node name
     Server type	Required	Server type of GPU Node The user can view the number of cores, memory capacity, and GPU type and count of the created resources
     image	Required	User-generated GPU Node image version
     IP	Required	IP of the GPU node created by the user
     status	Required	Status of the GPU Node created by the user
     Creation date and time	Selection	GPU Node creation timestamp

     Table. GPU Node resource list items

3. GPU Node List page, click the resource to view detailed information. 3. Go to the GPU Node Details page.

   • GPU Server Details At the top of the page, status information and descriptions of additional features are displayed.

     Category	Detailed description
     GPU Node status	Status of the GPU Node created by the user Creating: State while the server is being created Running:: State when creation is complete and the server is available for use Editing:: State while the IP is being changed Unknown: Error state Starting: State while the server is starting Stopping: State while the server is stopping Stopped: State when the server has stopped Terminating: State while terminating Terminated: State when termination is complete
     Server control	Button to change server status Start: Start a stopped server Stop: Stop a running server
     Service cancellation	Cancel service button

     Table. GPU Node status information and additional features

Detailed Information

On the GPU Node List page’s Details Tab, you can view the detailed information of the selected resource and edit the information if needed.

Tag

On the GPU Node List page’s Tag Tab, you can view the selected resource’s tag information, and add, modify, or delete it.

Job History

GPU Node List page’s Job History Tab allows you to view the job history of the selected resource.

Control GPU Node operation

If you need server control and management functions for the created GPU Node resources, you can perform tasks on the GPU Node List or GPU Node Details page. You can start and stop the running GPU Node resources.

Getting Started with GPU Node

You can start a stopped (Stopped) GPU Node. To start the GPU Node, follow these steps.

1. All Services > Compute > Multi-node GPU Cluster Click the menu. 1. Go to the Service Home page of the Multi-node GPU Cluster.
2. On the Service Home page, click the GPU Node menu. 2. Go to the GPU Node list page.
   • GPU Node List page, after selecting individual or multiple servers with the checkbox, you can Start via the More button at the top.
3. GPU Node List page, click Resources. 3. Go to the GPU Node Details page.
   • On the GPU Node Details page, click the Start button at the top to start the server.
4. Check the server status and complete the status change.

Stop GPU Node

You can stop a GPU node that is (Active). To stop the GPU Node, follow the steps below.

1. All Services > Compute > Multi-node GPU Cluster Click the menu. 1. Go to the Service Home page of the Multi-node GPU Cluster.
2. On the Service Home page, click the GPU Node menu. 2. Go to the GPU Node list page.
   • GPU Node List page, after selecting individual or multiple servers with the checkboxes, you can control them using the Stop button at the top.
3. On the GPU Node List page, click Resources. 3. Go to the GPU Node Details page.
   • Click the 중지 button at the top of the GPU Node 상세 page to stop the server.
4. Check the server status and complete the status change.

Terminate GPU Node

You can terminate unused GPU nodes to reduce operating costs. However, if you terminate the service, the running service may be discontinued immediately, so you should proceed with the termination only after fully considering the impact that may arise from the service interruption.

To cancel a GPU Node, follow these steps.

1. All Services > Compute > Multi-node GPU Server Click the menu. 1. Go to the Service Home page of the Multi-node GPU Cluster.
2. On the Service Home page, click the Cluster Fabric menu. 2. Go to the Cluster Fabric List page.
3. On the Cluster Fabric List page, select the resources to cancel, and click the Cancel Service button.
   • Resources that use the same Cluster Fabric can be terminated simultaneously.
4. When termination is complete, check on the GPU Node List page whether the resources have been terminated.