With the rapid scaling of AI deployments, efficiently storing and distributing model weights across distributed infrastructure has become a critical bottleneck. Here's my analysis of storage solutions optimized specifically for model serving workloads. The Challenge: Speed at Scale Model weights need to be loaded quickly during initialization and potentially shared
