In the world of simulation we are accustomed to dealing with both extremely large datasets and very long compute times. Even with modern GPU acceleration and large amounts of memory the resolution of the domain required to accurately simulate even a subset of real-world physics can result in compute times that run into the days or even weeks and datasets that are many tens of gigabytes in size. When you have datasets this large it can be difficult to distill this down into something that you can derive valuable insights from and keeping these enormous datasets in the cloud allows us to use scalable cloud resources to process the data. This is something that has become more of a pressing issue as the simulation capabilities of Autodesk Fusion 360 have expanded.