AI inference is outpacing memory supply. As GPU clusters scale and agentic workloads multiply, storage teams are racing to keep up with a global memory shortage and surging KV cache demands.
This report unpacks how hyperscalers and vendors are re-architecting storage from the ground up, and puts the industry's favorite new fix, algorithmic compression, to the test.
What you'll learn
✓ Why KV cache is compounding the AI memory shortage
✓ How Meta re-architected its storage stack to stop GPUs sitting idle
✓ What Nvidia's CMX platform means for storage vendors
✓ The real story behind TurboQuant, the Google algorithm that briefly rattled memory stocks
✓ How intelligent tiering and tape are being repositioned for the AI era
✓ What space-grade storage reveals about the future of edge infrastructure
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