R&D and engineering teams developing new, more advanced products are demanding more high-performance computing (HPC) resources to power their compute-intensive applications. Within HPC, there has been an explosion of new specialized hardware in the cloud, pushing many organizations to explore new ways to drive business efficiency and accelerated R&D innovation.

Despite the perception that cloud transformation has led to commoditized infrastructure, public cloud service providers (CSPs) are ramping up offerings of specialized HPC infrastructure. Now, the hardware landscape is evolving every few months, leaving many IT and HPC practitioners unaware or unsure of how to take advantage of new or different hardware options that offer better cost and performance. This presents increasingly complex and critical decisions for organizations as they try to maximize value from valuable resources like talent and investments in hardware and software.

This guide provides a data-driven framework to capitalize on new cloud-HPC technologies and capture more business value for both the practitioners and business leaders trying to adapt to these market conditions. By benchmarking commonly used computer aided engineering (CAE) applications we easily identify which public cloud hardware options are best suited for your business.