AI Infrastructure: Storage Options

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

• Select appropriate storage options for each phase of the AI data pipeline
• Apply storage best practices for AI and HPC workloads
• Identify storage techniques for data preparation, training, serving, and archiving
• Analyze example storage architectures for training and inference

• Basic familiarity with cloud computing terminology
• Willingness to review practical examples