![]() ![]() ![]() The more complicated the problem and the higher accuracy required, the greater demand for higher and higher levels of computing. Compared to classic physical prototyping, test, and verification processes, digital prototyping saves money, accelerates R&D timelines, and reduces risk in new technology development.īut digital prototyping for complex designs requires solving extremely large Multiphysics problems-electrical, thermal, mechanical, material, and others-simultaneously. ![]() Challengeĭigital prototyping is a critical part of design and engineering today. OnScale’s Intel-and Google Cloud-powered service helps companies accelerate products to market and cut R&D costs by offsetting costly physical prototypes with highly accurate digital prototypes. OnScale enables digital prototyping using their long-trusted and established Multiphysics solvers running on Google Cloud clusters, which feature 2nd Gen Intel® Xeon® Scalable processors. But for large and complex device designs, digital prototyping involves 3D Multiphysics solvers that run on expensive supercomputers. Digital prototyping using modeling and simulation is becoming standard practice in today’s engineering processes. ![]()
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