Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Halaman ini menjelaskan cara memeriksa status layanan dan endpoint untuk Vertex AI dalam Google Distributed Cloud (GDC) air-gapped. Endpoint memungkinkan Anda mengakses model terlatih Vertex AI melalui API-nya menggunakan notebook JupyterLab atau antarmuka command line. Dengan mengonfirmasi status dan endpoint layanan, Anda dapat memverifikasi deployment baru, memecahkan masalah integrasi, dan memantau status operasional fitur AI di seluruh aplikasi Anda.
Halaman ini ditujukan bagi developer aplikasi dalam grup operator aplikasi yang bertanggung jawab untuk memastikan fitur AI beroperasi di aplikasi yang berjalan di lingkungan air gap yang aman. Untuk mengetahui informasi selengkapnya, lihat dokumentasi Audiens untuk GDC yang terisolasi dari internet.
Gunakan langkah-langkah berikut untuk melihat status layanan Vertex AI API dan endpoint-nya:
Di menu navigasi, klik Vertex AI>Pre-trained APIs.
Di halaman API Terlatih, Anda dapat meninjau informasi berikut:
Lihat status setiap API terlatih di panel tengah. Statusnya adalah
Diaktifkan atau Tidak diaktifkan. Jika statusnya Tidak diaktifkan,
Anda dapat mengaktifkan API yang sesuai. Untuk mengetahui informasi selengkapnya, lihat Menyediakan GPU dan mengaktifkan API Vertex AI.
Jika status API adalah Diaktifkan, Anda dapat melihat endpointnya di detail layanan. Untuk menggunakan endpoint ini guna berinteraksi secara terprogram dengan
layanan Vertex AI, klik content_copySalin untuk menyalinnya ke papan klip Anda.
Jika sistem gagal mengaktifkan API, halaman akan menampilkan informasi untuk membantu Anda memecahkan masalah tersebut.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-04 UTC."],[[["\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."]]
