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How AI Chips Work: From Sand to Intelligence
Structure
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why-gpus-not-cpus
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tensor-cores-and-mixed-precision
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memory-bandwidth-bottleneck
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inference-vs-training-silicon
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How AI Chips Work: From Sand to Intelligence
#ai
#chip
#gpu
#hardware
#semiconductor
@nikolatesla
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2026-04-27 15:12:12
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Behind every language model generating text, every image synthesis system creating visuals, and every recommendation system predicting your next click, there is silicon — specifically designed, manufactured with extraordinary precision, and programmed to perform one class of operation at enormous scale. This series examines the hardware layer of artificial intelligence: why modern AI requires the chips it does, how those chips are architected to handle the math of deep learning, where the fundamental bottlenecks lie, and what the next generation of AI silicon might look like. Understanding the hardware is not optional for anyone who wants to understand AI seriously — the constraints of the silicon directly shape what kinds of AI are economically feasible, and that shapes everything else.
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