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 in the Samsung Cloud Platform Console.

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

Create GPU Node

Multi-node GPU Cluster To create a Multi-node GPU Cluster, follow the steps below.

1. All Services > Compute > Multi-node GPU Cluster menu, click it. Navigate to the Service Home page of Multi-node GPU Cluster.
2. On the Service Home page, click the Create GPU Node button. You will be taken to the Create GPU Node 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 or not	Detailed description
     image	Required	Select the type of image provided Ubuntu
     Image version	Required	Select version of the chosen image Provide a list of versions for the supplied server image

     Table. GPU Node image and version selection options
   • In the Service Information Input area, enter or select the required information.

     Category	Required	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. Only during the initial setup can you create 2 or more, and subsequent 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	Status of resources with Planned Compute configured In Use: Number of resources with Planned Compute that are currently in use Configured: Number of resources with Planned Compute configured Coverage Preview: Amount applied per resource by Planned Compute Apply for Planned Compute Service: Navigate to the Planned Compute service application page For more details, refer to Apply for Planned Compute

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

     Category	Required	Detailed description
     Administrator account	Required	Set the administrator account and password to be used when connecting to the server Ubuntu OS is provided with root fixed
     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 general Subnet IP can be auto‑generated or manually entered; if manual input is chosen, the user enters the IP directly NAT: usable only when there is a single server and the VPC is attached to an Internet Gateway. Check to use, and you can select a NAT IP (initially it can be created only with two or more servers, so modify it on the resource detail page) NAT IP: select a NAT IP If no NAT IP is available, click the Create new button to generate a Public IP Click the Refresh button to view and select the created Public IP Creating a Public IP incurs charges according to the Public IP pricing

     Table. Required input fields for GPU Node
   • In the Cluster Selection area, create or select a Cluster Fabric.

     Category	Required status	Detailed description
     Cluster Fabric	Required	Configure a group of GPU Node servers that can apply GPU Direct RDMA together Optimal GPU performance and speed can be achieved 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 create To add to an existing Cluster Fabric, Existing Input > select Node pool, then select the previously created Cluster Fabric

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

     Category	Required status	Detailed description
     Lock	Selection	Using a lock prevents accidental actions that could terminate, start, or stop the server.
     Init Script	Selection	Script to run when the server starts The Init Script must be selected differently depending on the image type For Linux: Choose Shell Script or cloud-init
     tag	Selection	Add Tag Up to 50 can be added 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.
   • When creation is complete, check the created resources on the GPU Node List page.

Check GPU Node details

The Multi-node GPU Cluster service allows you to view and edit the full resource list and detailed information of GPU nodes.

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

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

1. All Services > Compute > Multi-node GPU Cluster > GPU Node menu, click it. Navigate to the Service Home page of Multi-node GPU Cluster.

2. On the Service Home page, click the GPU Node menu. You will be taken to the GPU Node List page.

   • Resource items beyond the required columns can be added via 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 the GPU Node Users can view the number of cores, memory capacity, and GPU type and quantity of the resources they created
     image	Required	User-created GPU Node image version
     IP	Required	IP of the GPU node created by the user
     status	Required	Status of the user-created GPU node
     Creation date and time	Selection	GPU Node creation timestamp

     Table. GPU Node resource list items

3. On the GPU Node List page, click the resource for which you want to view detailed information. You will be taken 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 user-created GPU Node Creating: server is being created Running:: creation completed and available Editing:: IP is being changed Unknown: error state Starting: server is starting Stopping: server is stopping Stopped: server stopped Terminating: terminating Terminated: termination completed
     Server control	Button to change server status Start: Start a stopped server Stop: Stop a running server
     Service termination	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 necessary.

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

On the GPU Node List page’s Job History Tab, you can 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 resources of a running GPU node.

Getting Started with GPU Node

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

1. Click the All Services > Compute > Multi-node GPU Cluster menu. Go to the Service Home page of Multi-node GPU Cluster.
2. On the Service Home page, click the GPU Node menu. You will be taken to the GPU Node List page.
   • On the GPU Node List page, after selecting individual or multiple servers with the checkboxes, you can Start using the More button at the top.
3. On the GPU Node List page, click the resource. Navigate to the GPU Node Detail 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.

Stopping GPU Node

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

1. Click the All Services > Compute > Multi-node GPU Cluster menu. Go to the Service Home page of Multi-node GPU Cluster.
2. On the Service Home page, click the GPU Node menu. You will be taken to the GPU Node List page.
   • GPU Node List page allows you to control individual or multiple servers by selecting the checkboxes and using the Stop button at the top.
3. On the GPU Node List page, click the resource. You will be taken to the GPU Node Details page.
   • On the GPU Node Details page, click the Stop button at the top 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, terminating a service may cause the running service to stop immediately, so you should carefully consider the impact of service interruption before proceeding with termination.

To cancel a GPU Node, follow the steps below.

1. Click the All Services > Compute > Multi-node GPU Server menu. Navigate to the Service Home page of the Multi-node GPU Cluster.
2. On the Service Home page, click the Cluster Fabric menu. You will be taken to the Cluster Fabric list page.
3. Cluster Fabric List page, select the resources to terminate, and click the Service Termination 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.