Supervisa el rendimiento de las GPU en las VM de Windows
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Windows
Para ayudar a usar mejor los recursos, puedes realizar un seguimiento de las tasas de uso de GPU de las instancias de máquina virtual (VM).
Cuando conoces las tasas de uso de GPU, puedes realizar tareas como configurar grupos de instancias administrados que se pueden usar para aplicar el ajuste de escala automático a los recursos.
Para revisar las métricas de GPU mediante Cloud Monitoring, sigue los pasos a continuación:
En cada VM, configura la secuencia de comandos de informes de métricas de GPU.
Esta secuencia de comandos instala el agente de informes de métricas de GPU. Este agente se ejecuta a intervalos en la VM para recopilar datos de GPU y enviarlos a Cloud Monitoring.
Para supervisar el rendimiento de las GPU en las VMs de Windows, debes otorgar los roles de Identity and Access Management (IAM) necesarios a las siguientes entidades principales:
Para garantizar que tú y la cuenta de servicio de la VM tengan los permisos necesarios para supervisar el rendimiento de la GPU en las VMs de Windows, pídele a tu administrador que les otorgue a ti y a la cuenta de servicio de la VM los siguientes roles de IAM en el proyecto:
Es posible que tu administrador también pueda otorgarte a ti y a la cuenta de servicio de la VM los permisos necesarios a través de roles personalizados o de otros roles predefinidos.
Configura la secuencia de comandos de informes de métricas de GPU
Requisitos
En cada una de tus VM, verifica que se satisfagan los siguientes requisitos:
Abre una terminal de PowerShell como administrador y usa el comando Invoke-WebRequest para descargar la secuencia de comandos.
Invoke-WebRequest está disponible en PowerShell 3.0 o versiones posteriores.
Google Cloud recomienda que uses ctrl+v para pegar los bloques de código copiados.
mkdir c:\google-scripts
cd c:\google-scripts
Invoke-Webrequest -uri https://raw.githubusercontent.com/GoogleCloudPlatform/compute-gpu-monitoring/main/windows/gce-gpu-monitoring-cuda.ps1 -outfile gce-gpu-monitoring-cuda.ps1
Ejecuta la secuencia de comandos:
cd c:\google-scripts
.\gce-gpu-monitoring-cuda.ps1
Configura el agente para que se inicie de forma automática en el arranque
A fin de asegurarte de que el agente de informes de métricas de GPU esté configurado para ejecutarse en el arranque del sistema, usa el siguiente comando a fin de agregar el agente al Programador de tareas de Windows.
$Trigger= New-ScheduledTaskTrigger -AtStartup
$Trigger.ExecutionTimeLimit = "PT0S"
$User= "NT AUTHORITY\SYSTEM"
$Action= New-ScheduledTaskAction -Execute "PowerShell.exe" -Argument "C:\google-scripts\gce-gpu-monitoring-cuda.ps1"
$settingsSet = New-ScheduledTaskSettingsSet
# Set the Execution Time Limit to unlimited on all versions of Windows Server
$settingsSet.ExecutionTimeLimit = 'PT0S'
Register-ScheduledTask -TaskName "MonitoringGPUs" -Trigger $Trigger -User $User -Action $Action -Force -Settings $settingsSet
Revisa las métricas en Cloud Monitoring
En la consola de Google Cloud , ve a la página Explorador de métricas.
[[["Fácil de comprender","easyToUnderstand","thumb-up"],["Resolvió mi problema","solvedMyProblem","thumb-up"],["Otro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Información o código de muestra incorrectos","incorrectInformationOrSampleCode","thumb-down"],["Faltan la información o los ejemplos que necesito","missingTheInformationSamplesINeed","thumb-down"],["Problema de traducción","translationIssue","thumb-down"],["Otro","otherDown","thumb-down"]],["Última actualización: 2025-09-09 (UTC)"],[[["\u003cp\u003eThis document guides you through tracking GPU usage rates on Windows virtual machines (VMs) to optimize resource utilization, including setting up managed instance groups for autoscaling.\u003c/p\u003e\n"],["\u003cp\u003eMonitoring GPU performance requires granting specific Identity and Access Management (IAM) roles, such as Compute Instance Admin (v1) and Monitoring Metric Writer, to both the VM's service account and your user account.\u003c/p\u003e\n"],["\u003cp\u003eTo monitor GPU metrics, you must set up and run a GPU metrics reporting script on each VM, ensuring each VM has GPUs attached and a GPU driver installed.\u003c/p\u003e\n"],["\u003cp\u003eThe GPU metrics reporting agent can be configured to automatically start on boot via the Windows Task Scheduler, ensuring continuous data collection.\u003c/p\u003e\n"],["\u003cp\u003eYou can view collected GPU data, such as utilization, memory usage, and temperature, in Google Cloud's Metrics Explorer by selecting the custom metrics under the VM Instance resource.\u003c/p\u003e\n"]]],[],null,["# Monitoring GPU performance on Windows VMs\n\nWindows\n\n*** ** * ** ***\n\nTo help with better utilization of resources, you can track the GPU usage\nrates of your virtual machine (VM) instances.\n\nWhen you know the GPU usage rates,\nyou can perform tasks such as\nsetting up [managed instance groups](/compute/docs/instance-groups#managed_instance_groups)\nthat can be used to autoscale resources.\n\nTo review GPU metrics using [Cloud Monitoring](/monitoring/docs), complete\nthe following steps:\n\n1. On each VM, [set up the GPU metrics reporting script](#setup-script). This script installs the GPU metrics reporting agent. This agent runs at intervals on the VM to collect GPU data, and sends this data to Cloud Monitoring.\n2. On each VM, [run the script](#run-script).\n3. On each VM, set GPU metrics reporting agent to [automatically start on boot](#autostart).\n4. [View logs in Google Cloud Cloud Monitoring](#review-metrics).\n\nRequired roles\n--------------\n\nTo monitor GPU performance on Windows VMs, you need to grant the required\nIdentity and Access Management (IAM) roles to the following principles:\n\n- The [service account](/compute/docs/instances/change-service-account#serviceaccountname) that is used by the VM instance\n- Your user account\n\n\nTo ensure that you and the VM's service account has the necessary\npermissions to monitor GPU performance on Windows VMs,\n\nask your administrator to grant you and the VM's service account the\nfollowing IAM roles on the project:\n\n- [Compute Instance Admin (v1)](/iam/docs/roles-permissions/compute#compute.instanceAdmin.v1) (`roles/compute.instanceAdmin.v1`)\n- [Monitoring Metric Writer](/iam/docs/roles-permissions/monitoring#monitoring.metricWriter) (`roles/monitoring.metricWriter`)\n\n\nFor more information about granting roles, see [Manage access to projects, folders, and organizations](/iam/docs/granting-changing-revoking-access).\n\n\nYour administrator might also be able to give you and the VM's service account\nthe required permissions through [custom\nroles](/iam/docs/creating-custom-roles) or other [predefined\nroles](/iam/docs/roles-overview#predefined).\n\nSet up the GPU metrics reporting script\n---------------------------------------\n\n### Requirements\n\nOn each of your VMs, check that you meet the following requirements:\n\n- Each VM must have [GPUs attached](/compute/docs/gpus/create-vm-with-gpus).\n- Each VM must have a [GPU driver installed](/compute/docs/gpus/install-drivers-gpu#verify-driver-install).\n\n### Download the script\n\nOpen a PowerShell terminal as an administrator and use the\n[`Invoke-WebRequest` command](https://docs.microsoft.com/en-us/powershell/module/microsoft.powershell.utility/invoke-webrequest?view=powershell-7.1) to download the script.\n\n`Invoke-WebRequest` is available on PowerShell 3.0 or later.\nGoogle Cloud recommends that you use `ctrl+v` to paste the copied code blocks. \n\n```bash\nmkdir c:\\google-scripts\ncd c:\\google-scripts\nInvoke-Webrequest -uri https://raw.githubusercontent.com/GoogleCloudPlatform/compute-gpu-monitoring/main/windows/gce-gpu-monitoring-cuda.ps1 -outfile gce-gpu-monitoring-cuda.ps1\n```\n\nRun the script\n--------------\n\n```bash\ncd c:\\google-scripts\n.\\gce-gpu-monitoring-cuda.ps1\n```\n\nConfigure the agent to automatically start on boot\n--------------------------------------------------\n\nTo ensure that the GPU metrics reporting agent agent is set up to run on\nsystem boot, use the following command to add the agent to the Windows Task\nScheduler. \n\n```bash\n$Trigger= New-ScheduledTaskTrigger -AtStartup\n$Trigger.ExecutionTimeLimit = \"PT0S\"\n$User= \"NT AUTHORITY\\SYSTEM\"\n$Action= New-ScheduledTaskAction -Execute \"PowerShell.exe\" -Argument \"C:\\google-scripts\\gce-gpu-monitoring-cuda.ps1\"\n$settingsSet = New-ScheduledTaskSettingsSet\n# Set the Execution Time Limit to unlimited on all versions of Windows Server\n$settingsSet.ExecutionTimeLimit = 'PT0S'\nRegister-ScheduledTask -TaskName \"MonitoringGPUs\" -Trigger $Trigger -User $User -Action $Action -Force -Settings $settingsSet\n```\n\nReview metrics in Cloud Monitoring\n----------------------------------\n\n1. In the Google Cloud console, go to the **Metrics Explorer** page.\n\n [Go to Monitoring](https://console.cloud.google.com/monitoring/metrics-explorer)\n2. Expand the **Select a metric** menu.\n\n3. In the **Resource** menu, select **VM Instance**.\n\n4. In the **Metric category** menu, select **Custom**.\n\n5. In the **Metric** menu, select the metric to chart. For example\n `custom/instance/gpu/utilization`.\n\n | **Note:** Custom metrics might take some time to display.\n6. Click **Apply**.\n\n Your GPU utilization should resemble the following output:\n\nAvailable metrics\n-----------------\n\nWhat's next?\n------------\n\n- To handle GPU host maintenance, see [Handling GPU host maintenance events](/compute/docs/gpus/gpu-host-maintenance).\n- To improve network performance, see [Use higher network bandwidth](/compute/docs/gpus/optimize-gpus)."]]
