OnScale is the combination of high-performance natively-parallel multiphysics solvers developed for the most demanding organizations in the world. They can run on public, AWS and GCP, or private cloud supercomputers. Your simulation time will go from days to minutes.
You can get any number of cores and memory needed to run your simulations. OnScale is multi-tenant – there are no software licenses and no IT license management issues.
Embed OnScale into your daily design activities through straightforward APIs to efficiently integrate your simulations into any design workflow, scripting languages to fully customize simulations, and plugins to enhance engineering simulation capabilities.
OnScale’s engineers are proud of our business model as they have experienced first-hand how legacy licensing schemes don’t scale up and down as needed. OnScale’s model is based on the compute time it takes for a simulation to run. Our AI estimators accurately predict how much a simulation study will cost and how long it will take before an engineer hits “run”.
Securely deploy OnScale to your team regardless of its size without worrying about extra licenses, additional hardware, or data storage. OnScale comes with world-class data security and uses best-in-class security components from our cloud partners, AWS and GCP.
All features and capabilities are available to you all the time – there are no additional modules or licenses required. You can access all preprocessing, simulation, and postprocessing tools and solvers anytime. Stop paying the features you need to get your work done.
From mechanical and electromagnetics, to piezoelectric and thermal, all the physics, compute power, and accuracy needed to create true Digital Prototypes is made available to you with OnScale. Build with ease cost-efficient digital representations of physical high-tech devices that capture their complete physical behavior.
From nanoscale medical devices to massive aircraft engines, the world-class solvers that make the OnScale software help engineers build the next great technologies.