Nvidia isn’t stopping with chips. The company is investing in full infrastructure to support global AI systems. The new NVL72 platform is a perfect example. It’s more than a powerful system built to grow with you. Companies can scale it as they need without overcommitting at the start.
This shows a clear direction. Nvidia wants to be more than a supplier. It wants to be the foundation on which modern business runs
When Nvidia was founded in 1993, it was best known for designing graphics cards for gaming. That world changed in 2006 when it introduced CUDA, a parallel computing platform that allowed researchers and developers to use GPUs for non-graphical tasks. This moment laid the foundation for a revolution in AI.
Imagine a robot that learns how to restock shelves in a supermarket after watching a human do it once. Or a healthcare assistant who picks up on how to guide a patient simply by observing a nurse. These are not far-off dreams. They are use cases that GR00T N1 can tackle with the help of simulation and behavioral learning.
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