From NVIDIA: [published_date]

In Taiwan, Wistron develops AI-enabled digital twins to improve energy efficiency. Using NVIDIA Modulus, they speed up simulations by 15,000x, saving time and energy. The digital twins help control temperatures, save electricity (up to 121,600 kWh/year), and reduce carbon emissions by 60,192 kilograms at the manufacturing plant.

Siemens Energy in Munich also leverages Modulus and Omniverse to create energy-efficient digital twins. With a 10,000x speedup, they simulate a heat-recovery steam generator, reducing downtime by 70% and potentially saving $1.7 billion annually. This advances sustainable, reliable energy ecosystems.

Across industries, digital twins are revolutionizing design, manufacturing, and scientific simulations, including automotive, astrophysics, genomics, and climate change research. Physics-informed AI accelerates workflows, saving time, cost, and energy. Physics simulations on traditional systems consume 200 billion CPU core hours and 4 terawatt hours of electricity annually.



Read more at NVIDIA: Model Innovators: How Digital Twins Are Making Industries More Efficient