Large language models (LLMs) often span tens or hundreds of gigabytes, and loading them repeatedly across distributed GPU clusters can turn storage into a critical bottleneck. In this talk, we’ll introduce a three-tier storage architecture—Hot (local NVMe SSDs), Warm (intra-cluster file sharing), and Cold (cloud object storage)—that balances performance, cost, and durability to feed your GPUs without pause.