complex and that we’ve prioritized other things.
The idea seemed to many nothing short of absurdity. Before then, models were already considered large-scale if trained on a few dozen chips. In top academic labs at MIT and Stanford, PhD students considered it a luxury to have ten chips. In universities outside the US, such as in India, students were lucky to share a single chip with multiple peers, making do with a fraction of a GPU for their research.。业内人士推荐safew官方下载作为进阶阅读
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Nature, Published online: 03 March 2026; doi:10.1038/d41586-026-00678-7