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AI Data Centers Are Wasting Power Moving Data. I Built a Chip That Stops It.
No compiler. No runtime. Weights loaded once.
Kusireddy
12 min read·<br>1 hour ago
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Use Friend Link here , If you can’t read full story<br>Three days ago a company raised $220 million to make AI inference faster. Their chip still needs a compiler to run a model. The weights still move. Just quicker.<br>I spent three months building something that does neither.<br>In 2025 someone on Reddit asked a question that started it all.<br>The thread was about data centers. Power consumption, cooling costs, the usual argument that surfaces every few months when a new paper drops about electricity grids. Someone cited a number: AI infrastructure in the United States now consumes more electricity than some entire countries. The replies split into two camps. One side called it a crisis. The other called it the price of progress.<br>I said the problem was not the compute. It was the movement.<br>Nobody agreed. The thread died. I closed the laptop and the question stayed open.<br>The Part Nobody Puts In The Benchmark Paper<br>Imagine a warehouse worker whose entire job is carrying the same box from a shelf to a counter, handing it…
Written by Kusireddy<br>7.1K followers<br>·28 following
I build AI systems in production. Writing about where AI and money actually intersect. Follow the $100K experiment on Instagram @teja.decoded
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