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.
- Industrial hardware is constantly evolving to meet the ever changing standard where the bigger constraint is how effectively that compute gets funnelled.
- 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.




