Get
Returns the specified GPU cluster.
To get the list of available GPU clusters, make a List request.
- TypeScript
- Python
import { cloudApi, serviceClients, Session } from "@yandex-cloud/nodejs-sdk";
const GetGpuClusterRequest =
cloudApi.compute.gpu_cluster_service.GetGpuClusterRequest;
(async () => {
const authToken = process.env["YC_OAUTH_TOKEN"];
const session = new Session({ oauthToken: authToken });
const client = session.client(serviceClients.GpuClusterServiceClient);
const result = await client.get(
GetGpuClusterRequest.fromPartial({
// gpuClusterId: "gpuClusterId"
})
);
console.log(result);
})();
import os
import grpc
import yandexcloud
from yandex.cloud.compute.v1.gpu_cluster_service_pb2 import GetGpuClusterRequest
from yandex.cloud.compute.v1.gpu_cluster_service_pb2_grpc import GpuClusterServiceStub
token = os.getenv("YC_OAUTH_TOKEN")
sdk = yandexcloud.SDK(token=token)
service = sdk.client(GpuClusterServiceStub)
response = service.Get(
GetGpuClusterRequest(
# gpu_cluster_id = "gpuClusterId"
)
)
print(response)
GetGpuClusterRequest
gpuClusterId
: string
ID of the GPU cluster to return.
To get a GPU cluster ID, make a GpuClusterService.List request.
GpuCluster
A GPU cluster. For details about the concept, see documentation.
Status
STATUS_UNSPECIFIED
CREATING
GPU cluster is being created.
READY
GPU cluster is ready to use.
ERROR
GPU cluster encountered a problem and cannot operate.
DELETING
GPU cluster is being deleted.
id
: string
ID of GPU cluster.
folderId
: string
ID of the folder that the GPU cluster belongs to.
createdAt
: google.protobuf.Timestamp
Creation timestamp.
name
: string
Name of the GPU cluster.
The name is unique within the folder.
description
: string
Description of the GPU cluster.
labels
: string
GPU cluster labels as key:value
pairs.
status
: Status
Status of the GPU cluster.
zoneId
: string
ID of the availability zone where the GPU cluster resides.
interconnectType
: GpuInterconnectType
Type of interconnect used for this GPU cluster.