Bringing the Power of AI To Optimize Engineering Simulations in the Cloud

As high-performance computing (HPC) simulations grow increasingly complex, optimizing compute resources for these tasks has become a significant challenge due to the vast array of available hardware and software options, especially in cloud environments. Unlike traditional on-premises HPC setups, which are limited and quickly outdated, cloud-based HPC continuously benefits from the latest advancements, making it crucial to select the best configurations for performance and cost-effectiveness. Artificial intelligence (AI) is emerging as a valuable tool in this context, leveraging extensive metadata from past simulations to recommend optimal hardware-software combinations, thereby enhancing workflow efficiency without the need for users to stay updated on every new chipset release. Rescale, a cloud-based platform, exemplifies this approach by using AI to automate HPC workload management across multiple cloud providers, allowing engineers to focus on their core tasks while benefiting from AI-powered suggestions that enhance throughput and reduce downtime. This AI-driven optimization is increasingly necessary as the market diversifies, with new technologies continuously emerging and creating new opportunities for performance gains in critical applications such as motorsport simulations.