MIT Technology Review · 22 Oct 2026
AI’s hidden storage bill: What inference leaves behind
Enterprises need economically scalable capacity to keep pace with the data created by AI inference. 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
⬅ Back home
Read full article ➡