AI Platform Vizier 也使用 AI Platform Training and Prediction API，它目前不完全支持 VPC Service Controls。但是，当您配置服务边界以保护 AI Platform Training and Prediction API 时，AI Platform Vizier 将保持启用状态。
[[["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)：2025-04-11。"],[[["\u003cp\u003eVPC Service Controls helps prevent data exfiltration from AI Platform Prediction by ensuring data remains within a defined service perimeter when creating models/versions and sending prediction requests.\u003c/p\u003e\n"],["\u003cp\u003eBatch prediction and AI Explanations are incompatible with VPC Service Controls and cannot be used within any Google Cloud projects inside the designated perimeter.\u003c/p\u003e\n"],["\u003cp\u003eTo function properly, the service perimeter must restrict the AI Platform Training and Prediction API, Pub/Sub API, Cloud Storage API, Google Kubernetes Engine API, Container Registry API, and Cloud Logging API.\u003c/p\u003e\n"],["\u003cp\u003eModels created before a project was added to the service perimeter are unusable, requiring the creation of new models inside the perimeter for any future model versions.\u003c/p\u003e\n"],["\u003cp\u003eLegacy (MLS1) machine types are unavailable when using VPC Service Controls, as well as the AI Platform Training and Prediction API's global endpoint, requiring the use of Compute Engine (N1) machine types and regional endpoints instead.\u003c/p\u003e\n"]]],[],null,[]]
