CourseTechnology
AI Infrastructure: Storage Options
By External Provider
About this course
In this course, you’ll take a comprehensive journey through the storage solutions available on Google Cloud, specifically tailored for AI and high-performance computing (HPC) workloads. You’ll learn how to choose the right storage for each stage of the ML lifecycle. You’ll explore how to optimize for I/O performance during training, manage massive datasets for data preparation, and serve model artifacts with low latency. Through practical examples and demonstrations, you’ll gain the expertise to design robust storage solutions that accelerate your AI innovation.
What you will learn
- Determine the appropriate storage options and storage best practices for each phase of the AI data pipeline.
- Determine the right storage solutions within each phase of the AI data pipeline.
- Identify storage options and techniques for data preparation, model training, model serving, and data archiving.
- Explore example storage architectures for model training and serving.