云桌面和服务器用gpu用量

import tencentcloud.common.credentials as credentials
import tencentcloud.common.profile.client_profile as client_profile
import tencentcloud.common.profile.http_profile as http_profile
import tencentcloud.cvm.v20170312.cvm_client as cvm_client

def create_instance_with_gpu():
    cred = credentials.Credential("你的SecretId", "你的SecretKey")
    httpProfile = http_profile.HttpProfile()
    httpProfile.endpoint = "cvm.tencentcloudapi.com"

    clientProfile = client_profile.ClientProfile()
    clientProfile.httpProfile = httpProfile
    client = cvm_client.CvmClient(cred, "ap-guangzhou", clientProfile)

    request = cvm_client.models.RunInstancesRequest()
    request.ImageId = "img-xxxxxx"
    request.InstanceType = "S5.LARGE8"  # 假设这是一个支持GPU的实例类型
    request.InstanceChargeType = "POSTPAID_BY_HOUR"
    request.InstanceName = "MyInstanceWithGPU"
    request.Placement = {"Zone": "ap-guangzhou-2"}
    request.SystemDisk = {"DiskType": "CLOUD_PREMIUM", "DiskSize": 50}
    request.VirtualPrivateCloud = {"VpcId": "vpc-xxxxxx", "SubnetId": "subnet-xxxxxx"}
    request.GuestOsType = "LINUX"
    request.InternetAccessible = {"InternetMaxBandwidthOut": 1, "PublicIpAssigned": True}

    response = client.RunInstances(request)
    return response.to_json_string(indent=2)

print(create_instance_with_gpu())