Computational Fluid Dynamics (CFD) simulations need significant compute power and time along with specialized hardware and network interfaces. The CAD industry is not new to utilizing flexible cloud environments to run their HPC (High-Performance Computing) workloads and overcome the challenges of procuring and maintenance of specialized costly infrastructure.
Microsoft Azure is consistently investing time and money to deliver and improve the broadest range of HPC offerings in their public cloud. From network interfaces like InfiniBand enabled VM families, Hyperscale like Cray supercomputing for running compute-intensive HPC, AI and Machine Learning workloads on the cloud. In this blog, we will be looking at Azure CycleCloud which can be used to set up and maintain an HPC cluster on Azure to submit CFD Solver jobs.