Dispelling the Top 5 Myths of Cloud HPC Myth #3: The Cloud Can’t Meet HPC Requirements

Cloud-based High-Performance Computing (HPC) has evolved significantly since its early days in 2010, when only x86 processors were available, to now include a diverse array of processors such as NVIDIA GPUs and Xilinx floating-point gate arrays, making cloud platforms as capable as on-premises IT environments. This shift enables organizations to accelerate innovation by selecting optimal hardware for specific workloads, reducing simulation costs by 20% and enhancing performance by 30% on average, according to recent benchmarking reports. Consequently, the adoption of cloud HPC has surged, with over 70% of organizations utilizing cloud services and more than half deploying HPC applications in the cloud, driven by factors like expanded HPC services, workload automation, and hybrid cloud platforms. Despite challenges such as global chip shortages, cloud solutions offer flexibility and specialized hardware selection, particularly in new HPC+AI/ML use cases. Companies like Rescale are at the forefront, providing expertise to help organizations overcome cloud migration challenges and optimize their computing needs.