How-to guides

The user can enter the required information for the Multi-node GPU Cluster service through the Samsung Cloud Platform Console, select detailed options, and create the service.

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 GPU Node and Cluster Fabric services.

GPU Node Creation

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

1. All Services > Compute > Multi-node GPU Cluster Click the menu. Navigate to the Service Home page of Multi-node GPU Cluster.
2. Click the GPU Node creation button on the Service Home page. You will be taken to the GPU Node creation page.
3. GPU Node creation on the page, enter the information required to create the service, and select detailed options.
   • Image and Version Selection Select the required information in the area.

     Category	Required	Detailed description
     Image	Required	Select provided image type Ubuntu
     Image Version	Required	Select version of the chosen image Provides a list of versions of the provided server images

     Table. GPU Node image and version selection items

• Enter service information area, input or select the required information.

  Category	Required	Detailed description
  Number of servers	Required	Number of GPU Node servers to create simultaneously Only numbers can be entered, and the minimum number of servers to create is 2. Only during the initial setup can you create 2 or more, and expansion is possible one at a time.
  Service Type > Server Type	Required	GPU Node Server Type Select desired CPU, Memory, GPU, 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 set 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 Planned Compute Service Application: Go to the Planned Compute service application page For details, refer to Apply for Planned Compute

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

    Category	Required or not	Detailed description
    Administrator Account	Required	Set the administrator account and password to be used when connecting to the server Ubuntu OS is provided fixed as root
    Server Name Prefix	Required	Enter a Prefix to distinguish each GPU Node generated when the number of selected servers is 2 or more Automatically generated as user input value (prefix) + ‘-###’ format Start with a lowercase English letter, and use 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 set to auto-generate or user input, and if input is selected, the user enters the IP directly NAT: Can be used only when there is 1 server and the VPC has an Internet Gateway attached. Checking ‘use’ allows selection of a NAT IP. (When first created, it is generated only with 2 or more servers, so modify on the resource detail page) NAT IP: Select NAT IP If there is no NAT IP to select, 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 policy

    Table. GPU Node required information entry items
• Cluster selection area, create or select a Cluster Fabric.

  Category	Required	Detailed description
  Cluster Fabric	Required	Setting of a group of GPU Node servers 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, select *New Input > Node pool, then enter the name of the Cluster Fabric to be created To add to an existing Cluster Fabric, select Existing Input > Node pool, then select the already created Cluster Fabric

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

    Category	Required or not	Detailed description
    Lock	Select	Using Lock prevents accidental actions that could terminate/start/stop the server
    Init Script	Select	Script to run when the server starts Init Script must be selected differently depending on the image type For Linux: Select Shell Script or cloud-init
    Tag	Select	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 items

4. Summary Check the detailed information and estimated billing amount generated in the panel, and click the Complete button.
   • Once creation is complete, check the created resources on the GPU Node List page.

GPU Node Check Detailed Information

The Multi-node GPU Cluster service allows you to view and edit 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 of the GPU Node, follow the steps below.

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

2. Click the GPU Node menu on the Service Home page. Navigate to the GPU Node List page.

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

     Category	Required or not	Detailed description
     Resource ID	Select	User-created GPU Node ID
     Cluster Fabric name	required	Cluster Fabric name created by the user
     Server name	Required	User-created GPU Node name
     Server Type	Required	Server type of GPU Node User can check the number of cores, memory capacity, 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 Time	Select	GPU Node creation time

     Table. GPU Node Resource List Items

3. GPU Node List Click the resource to view detailed information. GPU Node Details You will be taken to the 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 GPU Node created by the user Creating: State where the server is being created Running:: State where creation is complete and usable Editing:: State where IP is being changed Unknown: Error state Starting: State where the server is starting Stopping: State where the server is stopping Stopped: State where the server has stopped Terminating: State where termination is in progress Terminated: State where termination is complete
     Server Control	Button to change server status Start: Start a stopped server Stop: Stop a running server
     Service cancellation	Button to cancel the service

     Table. GPU Node status information and additional features

Detailed Information

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

Tag

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

Work History

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

GPU Node Operation Control

If you need server control and management functions for the generated 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.

GPU Node Getting Started

You can start a stopped GPU Node. To start the GPU Node, follow the steps below.

1. All Services > Compute > Multi-node GPU Cluster Click the menu. Navigate to the Service Home page of Multi-node GPU Cluster.
2. Click the GPU Node menu on the Service Home page. You will be taken to the GPU Node List page.
   • On the 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 the resource. GPU Node Details page will be opened.
   • GPU Node Details on the 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. Move to Multi-node GPU Cluster’s Service Home page.
2. Click the GPU Node menu on the Service Home page. You will be taken to the GPU Node List page.
   • GPU Node List page, you can control individual or multiple servers by selecting the checkboxes and then using the Stop button at the top.
3. GPU Node List page, click the resource. GPU Node Details page, navigate.
   • GPU Node Details on the page, click the Stop button at the top to stop the server.
4. Check the server status and complete the status change.

GPU Node Cancel

You can cancel unused GPU nodes to reduce operating costs. However, if you cancel the service, the running service may be stopped immediately, so you should consider the impact of service interruption sufficiently before proceeding with the cancellation.

To cancel the GPU Node, follow the steps below.

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