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 to be stored.
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