Release Date | Version Number | Change Content | Limitations and Impact |
2026-05-11 | v1.0.5 | Upgraded nvidia-device-plugin to version v0.18.2, supporting the mps feature. | This upgrade does not affect existing services. During the upgrade process, the component may be unavailable. It is recommended to upgrade during off-peak hours. |
2025-06-13 | v1.0.4 | 1. nvidia-device-plugin has been upgraded to version v0.14.5 to fix the issue where GPU pods fail to start after the DP_DISABLE_HEALTHCHECKS environment variable is set. 2. Fixed the issue where concurrent read/write operations on a map caused nvidia-gpu-exporter to panic. 3. During component upgrades, the cpu and memory resources configured for the plugin and exporter are retained. | This upgrade does not affect existing services. During the upgrade process, the component may be unavailable. It is recommended to upgrade during off-peak hours. |
2025-01-06 | v1.0.3 | Fixed the issue introduced in version 1.0.2 where the gpu exporter failed to update and collect metrics after a container restart. | This upgrade does not affect existing services. During the upgrade process, the component may be unavailable. It is recommended to upgrade during off-peak hours. |
2024-09-19 | v1.0.2 | Support for cgroup v2 and automatic detection of the cgroup driver used by kubelet. | This upgrade does not affect existing services. During the upgrade process, the component may be unavailable. It is recommended to upgrade during off-peak hours. |
2024-07-11 | v1.0.1 | Added a name label to the nvidia-gpu-exporter svc and removed redundant labels from the selector to meet the service discovery requirements of monitoring components such as Prometheus. | This upgrade does not affect existing services. During the upgrade process, the component may be unavailable. It is recommended to upgrade during off-peak hours. |
2024-03-01 | v1.0.0 | 1. The nvidia-gpu addon is released for the first time, which manages the nvidia-device-plugin daemonset and supports component-based management and upgrades. 2. It integrates the gpu exporter developed by TKE and supports GPU metrics at the container, Pod, and node levels. | This upgrade does not affect existing services. During the upgrade process, the component may be unavailable. It is recommended to upgrade during off-peak hours. |
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