本页介绍了如何在 Google Distributed Cloud (GDC) 空气隔离环境中检查 Vertex AI 的服务状态和端点。通过端点,您可以使用 JupyterLab 笔记本或命令行界面通过 API 访问 Vertex AI 预训练模型。确认服务状态和端点可让您验证新部署、排查集成问题,以及监控应用中 AI 功能的运行状态。
本页面面向应用运营商群组中的应用开发者,这些开发者负责确保在安全的气隙环境中运行的应用中的 AI 功能正常运行。如需了解详情,请参阅 GDC 气隙环境文档的受众群体。
[[["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):2025-09-04。"],[[["\u003cp\u003ePre-trained API endpoints are used to programmatically interact with Vertex AI services, such as in JupyterLab notebooks or via the command-line interface.\u003c/p\u003e\n"],["\u003cp\u003eThe GDC console's "Pre-trained APIs" page allows users to view the status of OCR, Speech-to-Text, and Vertex AI Translation pre-trained APIs.\u003c/p\u003e\n"],["\u003cp\u003eEach API's status on the central panel is indicated as either "Enabled" or "Not enabled," with options to enable if needed.\u003c/p\u003e\n"],["\u003cp\u003eIf an API is enabled, its endpoint can be copied from the central panel for use in programmatic interactions.\u003c/p\u003e\n"],["\u003cp\u003eTroubleshooting information is provided on the page if there are any issues enabling the API.\u003c/p\u003e\n"]]],[],null,["# View service status and endpoints\n\nThis page describes how to check the service status and endpoints for Vertex AI within Google Distributed Cloud (GDC) air-gapped. An endpoint lets you access Vertex AI pre-trained models through their APIs using JupyterLab notebook or the command-line interface. Confirming the service status and endpoints lets you verify new deployments, troubleshoot integration issues, and monitor the operational status of AI features across your applications.\n\n\u003cbr /\u003e\n\nThis page is for application developers within application operator groups responsible for ensuring AI features are operational in applications running in a secure air-gapped environment. For more information, see [Audiences for GDC air-gapped documentation](/distributed-cloud/hosted/docs/latest/gdch/resources/audiences).\n\nUse the following steps to view the service status of Vertex AI APIs and their endpoints:\n\n1. [Sign in to the GDC console](/distributed-cloud/hosted/docs/latest/gdch/platform/pa-user/iam/sign-in). If you can't sign in, see [Connect to an identity provider](/distributed-cloud/hosted/docs/latest/gdch/platform/pa-user/iam/connect-identity).\n2. In the navigation menu, click **Vertex AI** \\\u003e **Pre-trained APIs**.\n3. On the **Pre-trained APIs** page, you can review the following information:\n\n - View the status of each pre-trained API on the central panel. The status is\n either **Enabled** or **Not enabled** . If the status is **Not enabled** ,\n you can enable the corresponding API. For more information, see [Provision GPUs and enable Vertex AI APIs](/distributed-cloud/hosted/docs/latest/gdch/application/ao-user/vertex-ai-enable-pre-trained-apis).\n\n - If the status of an API is **Enabled** , you can view its endpoint in the\n service details. To use this endpoint for programmatically interacting with\n the Vertex AI service, click content_copy\n **Copy** to copy it to your clipboard.\n\nIf the system fails to enable the API, the page displays information to help you\ntroubleshoot the issue."]]