Version: Next
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 |
|---|---|---|
| hami_gpu_core_limit_ratio | Device core limit for a certain GPU | {device_index="0",device_uuid="GPU-00552014-5c87-89ac-b1a6-7b53aa24b0ec",node="aio-node67",zone="vGPU"} 100 |
| hami_gpu_memory_limit_bytes | Device memory limit for a certain GPU | {device_index="0",device_uuid="GPU-00552014-5c87-89ac-b1a6-7b53aa24b0ec",node="aio-node67",zone="vGPU"} 3.4359738368e+10 |
| hami_gpu_core_allocated_ratio | Device core allocated for a certain GPU | {device_index="0",device_uuid="GPU-00552014-5c87-89ac-b1a6-7b53aa24b0ec",node="aio-node67",zone="vGPU"} 45 |
| hami_gpu_memory_allocated_bytes | Device memory allocated for a certain GPU | {device_cores="0",device_index="0",device_uuid="aio-node74-arm-Ascend310P-0",node="aio-node74-arm",zone="vGPU"} 3.221225472e+09 |
| hami_gpu_shared_count | Number of containers sharing this GPU | {device_index="0",device_uuid="GPU-00552014-5c87-89ac-b1a6-7b53aa24b0ec",node="aio-node67",zone="vGPU"} 1 |
| hami_vgpu_core_allocated_ratio | vGPU core allocated from a container | {container_index="Ascend310P",device_uuid="aio-node74-arm-Ascend310P-0",node="aio-node74-arm",pod="ascend310p-pod",namespace="default",zone="vGPU"} 50 |
| hami_vgpu_memory_allocated_bytes | vGPU memory allocated from a container | {container_index="Ascend310P",device_uuid="aio-node74-arm-Ascend310P-0",node="aio-node74-arm",pod="ascend310p-pod",namespace="default",zone="vGPU"} 3.221225472e+09 |
| hami_resource_quota_used | resourcequota usage for a certain device | {quota_name="nvidia.com/gpucores", namespace="default",limit="200",zone="vGPU"} 100 |
If you are using HAMi DRA, the metrics will be:
| Metrics | Description | Example |
|---|---|---|
| GPUDeviceCoreLimit | GPUDeviceCoreLimit Device memory core limit for a certain GPU | {devicebrand="Tesla",deviceidx="0",devicename="hami-gpu-1",deviceproductname="Tesla P4",deviceuuid="GPU-3ab1-179d-d6dd",nodeid="k8s-node01"} 100 |
| GPUDeviceMemoryLimit | GPUDeviceMemoryLimit Device memory limit for a certain GPU | {devicebrand="Tesla",deviceidx="0",devicename="hami-gpu-1",deviceproductname="Tesla P4",deviceuuid="GPU-3ab1-179d-d6dd",nodeid="k8s-node01"} 8192 |
| GPUDeviceCoreAllocated | Device core allocated for a certain GPU | {devicebrand="Tesla",deviceidx="0",devicename="hami-gpu-1",deviceproductname="Tesla P4",deviceuuid="GPU-3ab1-179d-d6dd",nodeid="k8s-node01"} 0 |
| GPUDeviceMemoryAllocated | Device memory allocated for a certain GPU | {devicebrand="Tesla",deviceidx="0",devicename="hami-gpu-1",deviceproductname="Tesla P4",deviceuuid="GPU-3ab1-179d-d6dd",nodeid="k8s-node01"} 0 |
| vGPUDeviceCoreAllocated | vGPU core allocated from a container | {devicebrand="Tesla",deviceidx="0",devicename="hami-gpu-0",deviceproductname="Tesla P4",deviceuuid="GPU-82be-83fe-3068",nodeid="k8s-node01",podname="pod-0",podnamespace="default"} 100 |
| vGPUDeviceMemoryAllocated | vGPU memory allocated from a container | {devicebrand="Tesla",deviceidx="0",devicename="hami-gpu-0",deviceproductname="Tesla P4",deviceuuid="GPU-82be-83fe-3068",nodeid="k8s-node01",podname="pod-0",podnamespace="default"} 4000 |
note
This is the overview of device allocation, it is NOT device real-time usage metrics. For that part, see real-time device usage.
