Story
MIT Technology Review [ai] · Artificial Intelligence
← Back to your feed

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…

Read at MIT Technology Review [ai]

Join the conversation

Discuss the story with the TraceFeed community.

No comments yet. Be the first to add a perspective.

Make it part of your feed.

Sign up or log in to continue.