Modify worker groups

Requirements:

• CPU, GPU, RAM, Storage, Instance quotas: Must be sufficient for the Worker Group configuration changes.

• The number of GPUs must meet the Min node + 1 requirement so that Worker Nodes can roll out the configuration. If using Autoscale, the number of GPUs must meet the desired Max node requirement.

• 01 Network subnet: Network used for Kubernetes Nodes, the subnet must have a Static IP Pool.

Step by Step

Step 1: Access the FPT Cloud portal console.fptcloud.com, select Kubernetes, click on the cluster you want to change, select Node Pools, and click the "Edit Workers" icon.

Step 2: In addition to the configuration information for the standard Worker Group, you need to select the configuration for the GPU:

Select instance type: GPU

Select GPU type (A30, A100, H100, H200, etc.)

Select the GPU sharing configuration (None/Single/Mixed) Select the GPU type configuration (CPU/RAM/GPU RAM)

Note:

• Changing the GPU sharing method will require all GPU-related workloads to be redeployed, so before making changes, users must scale the application down to 0 to avoid errors.

• If GPU sharing was previously set to None or None with Operator, you cannot change GPU sharing to Single or Mixed.

• If you previously selected Single for GPU sharing, you can only change it to the corresponding Single modes.

Step 3: Review the initialization information and click Save.

Step 4: Monitor the initialization status of adding the Worker Group to the Kubernetes cluster. Once the status shows Successed (Running), proceed to use and deploy the application.