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Hardware for artificial intelligence
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<p>Specialized <a href="/facts/Computer_hardware/8jSjsCNv">computer hardware</a> is often used to execute <a href="/facts/Artificial_intelligence/lJGauQwX">artificial intelligence</a> (AI) programs faster, and with less energy, such as <a href="/facts/Lisp_machine/8ULEHdF0">Lisp machines</a>, <a href="/facts/Neuromorphic_engineering/REplYB5e">neuromorphic engineering</a>, <a href="/facts/Event_camera/QXvkXWG1">event cameras</a>, and <a href="/facts/Physical_neural_network/azQhVNq3">physical neural networks</a>. Since 2017, several consumer grade <a href="/facts/Central_processing_unit/Jxp1bqMV">CPUs</a> and <a href="/facts/System_on_a_chip/1RVvVe6N">SoCs</a> have on-die <a href="/facts/AI_accelerator/k0QuXHIb">NPUs</a>. As of 2023, the market for AI hardware is dominated by <a href="/facts/GPU/PTK1RQVp">GPUs</a>. </p>