[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2025-08-18。"],[],[],null,["# Change machine type and configure GPUs of a Vertex AI Workbench user-managed notebooks instance\n\nChange machine type and configure GPUs of a user-managed notebooks instance\n===========================================================================\n\n\n| Vertex AI Workbench user-managed notebooks is\n| [deprecated](/vertex-ai/docs/deprecations). On\n| April 14, 2025, support for\n| user-managed notebooks will end and the ability to create user-managed notebooks instances\n| will be removed. Existing instances will continue to function\n| but patches, updates, and upgrades won't be available. To continue using\n| Vertex AI Workbench, we recommend that you\n| [migrate\n| your user-managed notebooks instances to Vertex AI Workbench instances](/vertex-ai/docs/workbench/user-managed/migrate-to-instances).\n\n\u003cbr /\u003e\n\nThis page shows you how to change the machine type and\nGPU configuration of a user-managed notebooks instance.\n\nOverview\n--------\n\nThe machine type determines some specifications of\nyour user-managed notebooks instance,\nsuch as the amount of memory, virtual cores, and persistent disk limits.\nChanging the machine type can improve performance or help avoid errors\ncaused by high memory utilization.\n\nGPUs provide hardware acceleration that can improve the performance\nof your notebook code. You may want to add or increase the number of GPUs\nfor greater performance, or, to reduce the cost of running\nyour user-managed notebooks instance,\nyou may want to remove GPUs.\n\nBefore you change a machine type or GPU configuration\n-----------------------------------------------------\n\nConsider the following before you make any changes to\nyour user-managed notebooks instance's machine type\nor GPU configuration.\n\n### Billing implications\n\nEach machine type and GPU configuration is billed at a different rate.\nMake sure you understand\nthe [pricing](/compute/vm-instance-pricing) implications of making a change.\nFor example, an `e2-highmem-2` machine type costs more than an\n`e2-standard-2` machine type.\n\nChanging a machine type might also affect sustained use discounts.\nSustained use discounts are calculated [separately for different\ncategories](/compute/docs/sustained-use-discounts#calculating_discounts) in\nthe same region. If you change machine types so that the new machine type is\nin a different category, the subsequent running time of\nyour instance's VM counts toward the\nsustained use discount of the new category.\n\n### Moving to a smaller machine type\n\nIf you move from a machine type with more resources to a machine type with fewer\nresources, such as moving from an `e2-standard-8` machine type to an\n`e2-standard-2`, you might run into hardware resource issues or performance\nlimitations because smaller machine types are less powerful than larger machine\ntypes.\n\n### Make a backup\n\nIt's good practice to make regular backups of\nyour instance's persistent disk data using snapshots. Consider [taking a\nsnapshot](/compute/docs/disks/create-snapshots#creating_snapshots) of your\npersistent disk data before you change the machine type. If you want to make\nsure the new machine type is able to support the data on the existing instance,\nyou can take a persistent disk snapshot and use it to start a second instance\nwith the new machine type to confirm that the instance starts up successfully.\n\nChange the machine type and configure GPUs\n------------------------------------------\n\n| **Note:** To change the machine type or GPUs for a user-managed notebooks instance, you must [shut down the user-managed notebooks\n| instance](/vertex-ai/docs/workbench/user-managed/shut-down).\n\nTo change the machine type or configure the GPUs on\na user-managed notebooks instance, complete the following steps.\n\n1. In the Google Cloud console, go to the **User-managed notebooks** page.\n\n [Go to User-managed notebooks](https://console.cloud.google.com/vertex-ai/workbench/user-managed)\n2. In the **Notebook name** column, click the name of the\n instance that you want to modify.\n\n The **Notebook details** page opens.\n3. Click the **Hardware** tab.\n\n4. In the **Modify hardware configuration** section,\n select the **Machine type** that you want to use.\n\n5. If there are GPUs available for your instance's combination of\n zone, environment, and machine type, you can configure the GPUs.\n In the **GPUs** section, select the **GPU type** and\n **Number of GPUs** that you want to use.\n [Learn more about GPU regions and zone\n availability](/compute/docs/gpus/gpu-regions-zones).\n\n6. If you haven't already installed the required GPU drivers on your instance,\n select **Install NVIDIA GPU driver automatically for me**\n to install the drivers automatically on next startup.\n\n7. After Vertex AI Workbench has finished updating the machine type\n and GPU configuration, you can start\n your user-managed notebooks instance.\n\nWhat's next\n-----------\n\n- Learn more about the available [GPU platforms](/compute/docs/gpus)."]]