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    TechCrunch
    @TechCrunch
    Watch Nvidia CEO Jensen Huang reveal what he described as the state of the art in AI hardware: the new Rubin computing architecture. “Vera Rubin is designed to address this fundamental challenge that we have: The amount of computation necessary for AI is skyrocketing.” Huang said. “Today, I can tell you that Vera Rubin is in full production.” According to Nvidia’s tests, Rubin architecture operates three and a half times faster than the previous Blackwell architecture on model-training tasks and five times faster on inference tasks, and that's just the start.
    00:00
    11:01 PM · Jan 5, 202676.4KViews
  • user avatar
    OpenLedger
    @OpenledgerHQ
    Jan 6
    Industrial hardware is constantly evolving to meet the ever changing standard where the bigger constraint is how effectively that compute gets funnelled.
    2.2K
  • user avatar
    MadRocky
    @madrocky
    Jan 5
    @UnionPatriot369 @Daniel4CalGov26 @CobyJMarcum
    26
  • user avatar
    Nikhil Deshpande
    @dnikhilp
    Jan 6
    Compute is now the true AI bottleneck—and Rubin is NVIDIA doubling down on it. Faster training + inference reshapes economics across AI, robotics, and industrial scale deployment.
    300

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