GPU Instances

Retrieve GPU instance information (GPU, MIG).

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

Query parameters

clusterIds*string

Cluster Id

Response

Body

metricsMetrics (object)

대상 메트릭

UUIDstring

Universally Unique Identifier

Example: "GPU-79e36614..."

clusterstring

Cluster Id

Example: "gpu-cluster"

gpustring

GPU Index

Example: "0"

measurestring

Status

Example: "allocate"

modelNamestring

GPU Model Name

Example: "NVIDIA A30"

nodestring

Node Name

Example: "cocktail-gpu-node-1"

timestampinteger

Timestamps per time interval

Example: 1727159760

valueinteger

The number of GPUs in the status

Example: 1

Request

Response

GPU Instances

Retrieve GPU instance information (GPU, MIG).

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

Query parameters

clusterIds*string

Cluster Id

Response

Body

metricsMetrics (object)

대상 메트릭

UUIDstring

Universally Unique Identifier

Example: "GPU-79e36614..."

clusterstring

Cluster Id

Example: "gpu-cluster"

gpustring

GPU Index

Example: "0"

measurestring

Status

Example: "allocate"

modelNamestring

GPU Model Name

Example: "NVIDIA A30"

nodestring

Node Name

Example: "cocktail-gpu-node-1"

timestampinteger

Timestamps per time interval

Example: 1727159760

valueinteger

The number of GPUs in the status

Example: 1

Request

Response

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

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