This isn't just a love story. It's the actual state of AI infrastructure.
GPU clusters go where power is cheap, Iceland, Texas, wherever the gigawatts are. Your training data stays where it was stored, locked in a regional bucket. Every time they need to connect, you pay egress. Every time.
Teams are spending more moving data than using it.
Shelby puts your data in a single global namespace. Write once, read from wherever your compute is running. No regional copies. No transfer penalties. Cryptographic proof on every read.
Fix the data layer. Better AI economics follow.