Why AI Clouds Need a Tiered Storage Architecture

This post details the storage requirements across the AI lifecycle (ingestion, active training, checkpointing, output storage, inference) and argues for a tiered storage architecture beyond just flash. It highlights how Backblaze B2 Neo can fill the gap for non-flash-grade storage needs (datasets, checkpoints, model weights) by providing a cost-effective, high-capacity tier that connects directly to the hot tier, preventing data gravity with hyperscalers. It emphasizes that B2 Neo is available as a white-label product, allowing neoclouds to offer a seamless, branded tiered storage solution.