Google Cloud

Infrastruktur AI: Opsi Penyimpanan

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Google Cloud

Infrastruktur AI: Opsi Penyimpanan

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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

  • Menentukan opsi penyimpanan yang tepat dan praktik terbaik penyimpanan untuk setiap fase pipeline data AI.

  • Menentukan solusi penyimpanan yang tepat dalam setiap fase dari pipeline data AI.

  • Mengidentifikasi opsi dan teknik penyimpanan untuk persiapan data, pelatihan model, penyajian model, dan pengarsipan data.

  • Menjelajahi contoh arsitektur penyimpanan untuk pelatihan dan penyajian model.

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Recently updated!

April 2026

Assessments

3 assignments

Taught in Indonesian

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There are 5 modules in this course

Modul ini memberikan gambaran umum tentang kursus dan menguraikan tujuan pembelajaran.

What's included

1 plugin

Modul ini menjelaskan peran infrastruktur penyimpanan dalam pipeline data AI. Modul ini membahas tuntutan performa, solusi utama Google Cloud, dan kriteria pengambilan keputusan untuk memilih layanan berdasarkan kapasitas, throughput, dan latensi.

What's included

1 assignment2 plugins

Modul ini menjelaskan berbagai fase penting pada persiapan data dan pelatihan model dalam alur kerja AI. Modul ini membahas pengoptimalan pemuatan data menggunakan Cloud Storage, Anywhere Cache, dan alat Dataflux Dataset, sambil membandingkan sistem file berperforma tinggi seperti Cloud Storage FUSE dan Managed Lustre. Selain itu, modul ini menguraikan kriteria pengambilan keputusan untuk strategi checkpointing yang efisien guna memastikan fault tolerance dan meminimalkan waktu saat tidak ada aktivitas GPU.

What's included

1 assignment5 plugins

Modul ini menjelaskan strategi untuk penyajian model AI dan pengarsipan data. Modul ini membahas pemilihan penyimpanan—Managed Lustre, Cloud Storage, atau Hyperdisk ML—berdasarkan skala dan latensi, serta teknik pengoptimalan, seperti Image Streaming GKE dan Cloud Storage FUSE, untuk meminimalkan biaya dan waktu pemuatan.

What's included

1 assignment6 plugins

Link PDF ke semua modul untuk siswa

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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