Google Cloud

AI 基础设施:存储选项

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Google Cloud

AI 基础设施:存储选项

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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
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

  • 为 AI 数据流水线各阶段确定适当的存储选项和存储最佳实践。

  • 确定 AI 数据流水线各阶段适合的存储解决方案。

  • 确定用于数据准备、模型训练、模型部署和数据归档的存储选项和技术。

  • 探索用于模型训练和部署的示例存储架构。

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Recently updated!

April 2026

Assessments

3 assignments

Taught in Chinese (Simplified)

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There are 5 modules in this course

本单元概述了课程内容并列出了学习目标。

What's included

1 plugin

本单元详细介绍了存储基础设施在 AI 数据流水线中的作用。内容涵盖性能需求、主要 Google Cloud 解决方案,以及基于容量、吞吐量和延迟时间选择服务的决策标准。

What's included

1 assignment2 plugins

本单元详细介绍了 AI 工作流中关键的数据准备和模型训练阶段。内容涵盖如何使用 Cloud Storage、Anywhere Cache 和 Dataflux Dataset 工具优化数据加载,并比较了 Cloud Storage FUSE 和 Managed Lustre 等高性能文件系统。此外,本单元还概述了高效检查点策略的决策标准,以确保容错能力并最大限度减少 GPU 空闲时间。

What's included

1 assignment5 plugins

本单元详细介绍了 AI 模型部署和数据归档的策略。内容涵盖如何根据规模和延迟时间选择存储选项(Managed Lustre、Cloud Storage 或 Hyperdisk ML),并介绍了旨在最大限度减少费用和加载时间的优化技术(如 GKE 映像流式传输和 Cloud Storage FUSE)。

What's included

1 assignment6 plugins

所有单元的学员 PDF 链接

What's included

1 reading

Instructor

Google Cloud Training
Google Cloud
2,146 Courses4,149,219 learners

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Google Cloud

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