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AMD has been selling "Ryzen AI"-branded laptop processors for around a year and a half at this point. In addition to including modern CPU and GPU architectures, these are attempting to capitalize on the generative AI craze by offering chips with neural processing units (NPUs) suitable for running language and image-generation models locally, rather than on some company's server. But so far, AMD's desktop chips have lacked both these higher-performance NPUs and the Ryzen AI label.
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Energy consumption. Training and running large language models requires enormous amounts of compute and electricity. For communities that have long valued efficiency and minimalism – Emacs users who pride themselves on running a 40-year-old editor, Vim users who boast about their sub-second startup times – the environmental cost of AI is hard to ignore.
ВсеОбществоПолитикаПроисшествияРегионыМосква69-я параллельМоя страна。关于这个话题，超级权重提供了深入分析