在本課程中，您將全面瞭解 Google Cloud 提供的儲存空間解決方案，專門用於 AI 和高效能運算 (HPC) 的工作負載。您將學習如何根據機器學習生命週期的各個階段，選擇合適的儲存空間；以及探索如何在訓練期間將 I/O 效能最佳化、管理準備資料所需的龐大資料集，以及用低延遲提供模型構件。透過實際例子和示範，您將掌握專業知識，得以設計穩健的儲存空間解決方案，並加快 AI 創新。
AI 基礎架構：儲存空間選項
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Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
4 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
依據 AI 資料管道的各個階段，確定適當的儲存空間選項和最佳做法。
在 AI 資料管道的各個階段，確定合適的儲存空間解決方案。
判斷資料準備、模型訓練、提供模型和資料封存所需的儲存空間選項與技術。
探索用於模型訓練與提供的範例儲存空間架構。
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Recently updated!
April 2026
Assessments
3 assignments
Taught in Chinese (Traditional)
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There are 5 modules in this course
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