NVIDIA Earth-2: Leveraging The Omniverse To Help Understand Climate Change

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Scientists believe we’ll need a billion-X scale in computing power to “effectively simulate regional climate change.” Earth 2 has that power.

“Economists, biologists, scientists, companies in countries all over the world will be able to … simulate whether the dams that they’re building in Venice are going to make a difference. Simulate … what’s going to happen to the Mekong River in Southeast Asia. Simulate … what’s going to change to the climate conditions in California,” said Huang. “Earth-2 will literally be Earth two.”...

That’s what Modulus is for. It’s a framework for developing physics-ML neural network models trained with terabytes of data. One such model can then become the surrogate for the digital twins. Modulus uses the Fourier neural operator framework to provide AI models with the ability to understand physics, establishing the basis to predict climate variations and atmospheric events fast and accurately.

The simulation and visualization power of the Omniverse in partnership with the accuracy of physics-informed AI models that Modulus develops, together with GPU-accelerated computation at the data center scale, makes NVIDIA exceptionally well posited to solve the problem of predicting normal and extreme weather and climatic events at an ultra-high resolution — both at regional and global scales....

in 2021 about Earth-2: “All the technologies we’ve invented up to this moment are needed to make Earth-2 possible. I can’t imagine a greater or more important use.”

 

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