ACK installs a default NVIDIA driver version for each cluster type. If that version is incompatible with your CUDA library, set a node pool label to pin a specific driver version on new GPU nodes.
Prerequisites
Ensure that you have:
An ACK cluster with GPU-capable instance types
The driver version you need, selected from ACK's supported NVIDIA driver versions
Limitations
Driver compatibility
ACK does not guarantee compatibility between driver versions and CUDA library versions. For detailed driver version requirements for each NVIDIA GPU card type, see the NVIDIA official documentation.
Applies to new nodes only
The label triggers driver installation when a node joins — during creation or scale-out. Existing nodes are not affected. To update an existing node, remove the node and add it again.
Custom OS images
For custom OS images with GPU components such as the driver and NVIDIA Container Runtime, ACK cannot guarantee compatibility between the custom driver and other ACK GPU components, such as monitoring components.
Unsupported driver versions fall back to the default
If the specified version is not in ACK's supported list, ACK installs the default version instead. A version incompatible with the latest OS can also cause node addition failures — always use the latest supported version.
Instance type compatibility
Instance type | Compatible driver versions |
Earlier than 510.xxx (e.g., 470.xxx.xxxx with GSP disabled), or 525.125.06 and later. Versions 510.xxx and 515.xxx are not compatible. | |
460.32.03 and later |
Step 1: Select a driver version
Open ACK's supported NVIDIA driver versions and pick a version that matches your CUDA library. These steps use 550.144.03 as an example.
Step 2: Create a node pool with the driver version label
Log on to the Container Service Management Console. In the left navigation pane, click Clusters.
Click the name of your cluster. In the left navigation pane, choose Nodes > Node Pools.
In the upper-left corner, click Create Node Pool. See Create and manage a node pool.
In the Node Labels section, click the
icon to add a label:Key:
ack.aliyun.com/nvidia-driver-versionValue:
550.144.03
Complete the remaining configuration and submit the node pool.
Step 3: Verify the driver installation
After a node joins the pool, confirm it has the expected driver version.
List pods with the
component: nvidia-device-pluginlabel to find the one on your new node:kubectl get po -n kube-system -l component=nvidia-device-plugin -o wideExpected output:
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES ack-nvidia-device-plugin-fnctc 1/1 Running 0 2m33s 10.117.227.43 cn-qingdao.10.117.XXX.XX <none> <none>Note the pod name for your new node (e.g.,
ack-nvidia-device-plugin-fnctc).Run
nvidia-smiin the pod to check the driver version:kubectl exec -ti ack-nvidia-device-plugin-fnctc -n kube-system -- nvidia-smiExpected output:
Mon Mar 24 08:51:55 2025 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 550.144.03 Driver Version: 550.144.03 CUDA Version: 12.6 | |-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 Tesla P4 On | 00000000:00:07.0 Off | 0 | | N/A 33C P8 7W / 75W | 0MiB / 7680MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | No running processes found | +-----------------------------------------------------------------------------------------+Driver Version: 550.144.03confirms the custom driver is installed.
Set the driver version with the API
When creating a node pool with the CreateClusterNodePool API, include the driver version label in the tags field:
{
"tags": [
{
"key": "ack.aliyun.com/nvidia-driver-version",
"value": "550.144.03"
}
]
}