GPU Instances

GPU Instances

Retrieve GPU instance information (GPU, MIG).

GET/v1/monitoring-gpu/metric/model/result/current

Query parameters

Response

200

OK

Body

*/*

metricsMetrics (object)

대상 메트릭

timestampinteger

Timestamps per time interval

Example: 1727159760

valueinteger

The number of GPUs in the status

Example: 1

Request

JavaScriptCurlPython

const response = await fetch('/v1/monitoring-gpu/metric/model/result/current?clusterIds=text', {
    method: 'GET',
    headers: {},
});
const data = await response.json();

Response

200

[
  {
    "metrics": {
      "UUID": "GPU-79e36614...",
      "cluster": "gpu-cluster",
      "gpu": "0",
      "measure": "allocate",
      "modelName": "NVIDIA A30",
      "node": "cocktail-gpu-node-1"
    },
    "timestamp": 1727159760,
    "value": 1
  }
]