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The Rubin computing chip architecture, which was first announced in 2024, has been described by Huang as the state of the art in AI hardware that outperforms its Blackwell predecessor. The company said in January, when it officially started production of Rubin, it would operate 3.5x faster than the Blackwell architecture on model-training tasks and 5x faster on inference tasks, reaching as high as 50 petaflops.