本页面介绍如何在 Google Cloud 控制台中使用 Google Cloud Marketplace 创建 Deep Learning VM Image 映像实例。
准备工作
Sign in to your Google Cloud account. If you're new to
Google Cloud,
create an account to evaluate how our products perform in
real-world scenarios. New customers also get $300 in free credits to
run, test, and deploy workloads.
In the Google Cloud console, on the project selector page,
select or create a Google Cloud project.
[[["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)：2025-08-17。"],[[["\u003cp\u003eThis guide outlines how to create a Deep Learning VM instance using the Google Cloud Marketplace within the Google Cloud console, starting with the "Get started" button.\u003c/p\u003e\n"],["\u003cp\u003eUsers can customize their VM by selecting a deployment name, zone, machine type, GPU type, number of GPUs, and a machine learning framework, or they can opt for default settings.\u003c/p\u003e\n"],["\u003cp\u003eAfter deployment, the VM can be accessed via the VM Instances page, where users can choose between interacting with a graphical user interface or on the command line.\u003c/p\u003e\n"],["\u003cp\u003eThe instance can be manually stopped and started from the VM Instances page, and finally, the deployment can be deleted to avoid incurring unnecessary charges.\u003c/p\u003e\n"],["\u003cp\u003eJupyterLab access via a URL is an available beta feature in select regions, granting access to users in the Editor or Owner role within your Google Cloud project.\u003c/p\u003e\n"]]],[],null,[]]
