AI’s hidden storage bill: What inference leaves behind
But that picture leaves something out: Data storage costs.
Proof1 independent outlet
Key points
- 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.
- What happens to data after a model responds?
- As inference scales, the data footprint grows with it
- Compute demand rises and falls with training cycles, product launches, and hardware refreshes.
Sources (1)
- [1]AI’s hidden storage bill: What inference leaves behindMIT Technology Review (AI) · Oct 22, 08:41 AM
But that picture leaves something out: Data storage costs.
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.
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