Many people may find it hard to grasp the concept of carbon neutrality (reducing environmental impact) in a nutshell. "The goal is to achieve net-zero greenhouse gas emissions overall by 2050." The government announced this goal in October 2020. Those engaged in the research and development sectors of the manufacturing industry are facing various challenges daily in pursuit of this goal. In the field, CAE (Computer Aided Engineering) is currently evolving from a mere "tool for efficiency" to an "essential sustainable strategy." Why is simulation technology the key to saving the planet? This time, I would like to explore the deep relationship between "carbon neutrality and the power of CAE."

In the manufacturing industry and advanced research fields, the use of real machines for trial and error is already reaching its limits. NVIDIA's "Physical AI Platform" aims to completely eliminate the heavy constraints of "time, cost, and risk," elevating development speed to an entirely new dimension. This approach, known as "Sim2Real," allows for safe and instantaneous learning in virtual spaces, conducting tens of thousands to hundreds of millions of iterations, and seamlessly implementing the results into the real world. This is not just a concept; it is a powerful ecosystem that has already been put into practical use. In this article, we will elucidate the three phases that make up this platform and the roles of specific libraries that hold the key to its implementation.