このページでは、コマンドラインを使用せずに、Google Cloud コンソール内で Cloud Marketplace から Deep Learning VM Images インスタンスを作成する方法について説明します。
始める前に
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.
[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["わかりにくい","hardToUnderstand","thumb-down"],["情報またはサンプルコードが不正確","incorrectInformationOrSampleCode","thumb-down"],["必要な情報 / サンプルがない","missingTheInformationSamplesINeed","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["その他","otherDown","thumb-down"]],["最終更新日 2025-03-25 UTC。"],[[["This guide outlines how to create a Deep Learning VM instance directly from the Google Cloud Marketplace within the console, eliminating the need for command-line operations."],["Before creating the instance, you must select a specific Deep Learning VM image based on your preferred framework and processor type, and check that enough GPU quota is available if you are planning to use GPUs."],["The instance creation process involves selecting a deployment name, zone, machine type, optional GPU settings, and machine learning framework, then it includes selecting a boot disk and networking settings before deployment."],["If you are planning to use GPUs, you will need to install the NVIDIA drivers, which can be done automatically on the first startup, and you also have the choice of enabling JupyterLab access via URL."],["After deployment, you will be provided instructions to access the instance, and the instance name is created by appending `-vm` to the deployment name that was chosen during setup."]]],[]]
