Ground State Storage — Page 2

Overhead only matters when your workload triggers it—but AI inference increasingly does.

Three S3 upgrades finally made it possible to layer filesystem semantics on top of object storage.

Picking the cheapest tier without understanding your access patterns will cost you multiples more.

Breaking huge files into separately transmitted parts makes S3 uploads practical and reliable.

Understanding partition keys, not folder paths, is the real key to avoiding S3 throttling.

GPUs waste half their cycles waiting for data when object storage meets AI compute demands.

HTTP round-trips make tiny files expensive at scale.

GPU utilization dashboards miss data loading bottlenecks that waste most training time.

Storage bottlenecks, not GPU count, determine how fast ML models actually train.

Zero egress fundamentally reshapes the math for bandwidth-heavy workloads and AI pipelines.

Migration costs compound across authentication, tiering, and event models that don't translate.