Cluster device allocation
Cluster device allocation endpoint
You can get the overview of cluster device allocation and limit by visiting {scheduler node ip}:31993/metrics, or add it to a prometheus endpoint, as the command below:
curl {scheduler node ip}:31993/metrics
It contains the following metrics:
| Metrics | Description | Example |
|---|---|---|
| GPUDeviceCoreLimit | GPUDeviceCoreLimit Device memory core limit for a certain GPU | {deviceidx="0",deviceuuid="GPU-00552014-5c87-89ac-b1a6-7b53aa24b0ec",nodeid="aio-node67",zone="vGPU"} 100 |
| GPUDeviceMemoryLimit | GPUDeviceMemoryLimit Device memory limit for a certain GPU | {deviceidx="0",deviceuuid="GPU-00552014-5c87-89ac-b1a6-7b53aa24b0ec",nodeid="aio-node67",zone="vGPU"} 3.4359738368e+10 |
| GPUDeviceCoreAllocated | Device core allocated for a certain GPU | {deviceidx="0",deviceuuid="GPU-00552014-5c87-89ac-b1a6-7b53aa24b0ec",nodeid="aio-node67",zone="vGPU"} 45 |
| GPUDeviceMemoryAllocated | Device memory allocated for a certain GPU | {devicecores="0",deviceidx="0",deviceuuid="aio-node74-arm-Ascend310P-0",nodeid="aio-node74-arm",zone="vGPU"} 3.221225472e+09 |
| GPUDeviceSharedNum | Number of containers sharing this GPU | {deviceidx="0",deviceuuid="GPU-00552014-5c87-89ac-b1a6-7b53aa24b0ec",nodeid="aio-node67",zone="vGPU"} 1 |
| vGPUPodsDeviceAllocated | vGPU Allocated from pods | {containeridx="Ascend310P",deviceusedcore="0",deviceuuid="aio-node74-arm-Ascend310P-0",nodename="aio-node74-arm",podname="ascend310p-pod",podnamespace="default",zone="vGPU"} 3.221225472e+09 |
Note Please note that, this is the overview about device allocation, it is NOT device real-time usage metrics. For that part, see real-time device usage.