AI Hypercomputer を使い始めたい方に最適なコースです。AI Hypercomputer の基礎と、それが AI ワークロードで AI を支援する仕組みについて説明します。GPU、TPU、CPU など、ハイパーコンピュータ内の各種コンポーネントについて学び、ニーズに合った適切なデプロイ アプローチを選択する方法を知ることができます。
AI Infrastructure: AI Hypercomputer の概要
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
AI Hypercomputer の価値とアーキテクチャを定義する
AI Hypercomputer の一般的なユースケースを特定する
さまざまな種類のアクセラレータ（GPU、TPU、CPU）が AI のトレーニングと推論の高速化にどのように役立つかを説明する。
さまざまなデプロイ オプションの違いを知り、要件に最適なオプションを選択する。
Details to know
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Recently updated!
March 2026
Assessments
1 assignment
Taught in Japanese
See how employees at top companies are mastering in-demand skills
There are 2 modules in this course
このコースでは、適切なオプションの選択やパフォーマンスの最適化など、AI のトレーニングと推論を高速化するために Google Cloud GPU を効果的に活用する方法について掘り下げます。
What's included
1 assignment7 plugins
すべてのモジュールへの受講者用 PDF リンク
What's included
1 reading
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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