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The AI Data Center: The Machine That Thinks: GPUs, Cooling Towers, and the Power Grid Behind Every Chatbot Answer (en Inglés)
Kiet Huynh (Autor)
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Independently Published
· Tapa Blanda
The AI Data Center: The Machine That Thinks: GPUs, Cooling Towers, and the Power Grid Behind Every Chatbot Answer (en Inglés) - Kiet Huynh
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Reseña del libro "The AI Data Center: The Machine That Thinks: GPUs, Cooling Towers, and the Power Grid Behind Every Chatbot Answer (en Inglés)"
Your last chatbot answer took two seconds and cost about a quarter of a watt-hour. Multiply that by the billions of questions asked every day and you get a machine that draws electricity like a small country - so where does the question actually go?This book follows one question on its two-second round trip: phone, fiber, a windowless building, a rack of chips that weighs as much as a small car, and back - the chips, the power grid, the water, and the money, with the arithmetic shown at every step.Inside, you'll find: Why one rack of chips draws as much power as a hundred homes, and why the next generation is built to draw four times that.Why a new data center can mean a new gas plant. One planned Louisiana campus is projected to add four to ten million tons of carbon dioxide a year, and the book shows how that range is calculated.Why your electricity bill has data centers in it. A wholesale power price that rose elevenfold in one grid region in four years, paid partly by customers who have never typed a prompt.Where the water goes - five drops per question, twelve thousand Olympic pools a year for one company, and why cooling a chip is a plumbing problem before it is an electrical one.Whether the spending makes sense. Four companies are spending 725 billion dollars this year on chips obsolete in four years, backed by power contracts that run twenty - the case for a boom and for a bubble, so you can judge.Every figure is labeled by source and year. No technical background needed.The building behind your last answer was a deliberate choice. This book is about recognizing when that choice is being made again.