Rick W / Saturday, October 24, 2026 / Categories: Artificial Intelligence AI’s hidden storage bill: What inference leaves behind Ask most executives to picture the cost of AI and they’ll likely see GPUs—racks of accelerators with gigawatts of power—and a waitlist for silicon. But that picture leaves something out: Data storage costs. What happens to data after a model responds? Much of the back-end data that’s generated—from billions of daily prompts, images, and videos—needs… Previous Article The new economics of enterprise AI Next Article Making the case for context-aware AI Print 8 Tags: ModeModeldataAIBIGPUAccelerators