Simulation and modeling applications, including computer-aided engineering (CAE) and computational ﬂuid dynamics (CFD), are designed to run on scalable, high-performance clusters. To support those applications at scale, modern high-performance computing (HPC) systems require multi-core processors, high-bandwidth fabrics, and broad input/output (I/O) capabilities. Because of the complexity and ...variety of technologies available on the market, assembling an HPC system can be time consuming, requiring additional eﬀort for research, evaluation, and deployment. In addition, integration and configuration of selected components can impact the performance of the solution. The level of expertise required to properly configure the combined solution can intimidate small and medium organizations. Even larger enterprises considering the benefits of HPC clusters must weigh the time and eﬀort it takes to ramp up capabilities. These barriers slow down adoption of HPC clusters even though the return on the investment (ROI) can be significant.