Deciphering the Drivers and Barriers for HPC Cloud Adoption

According to a recent Hyperion Research study of 115 current and interested QC end-users from both HPC and enterprise IT organizations, the majority would consider a wide range of quantum computing (QC) technology and use-case options spanning new QC and QC-inspired applications, as well as speed-ups of existing applications delivered through a mix of QC or hybrid QC/classical systems. Likewise, these same QC buyers/users reported relatively modest expectations for realized performance gains from QC technology: 78% of respondents would see a performance boost of less than 250X as justification for using QC, and 42% would only need 50X or below. Such expectations bode well for the quantum computing sector writ large as QC developers and suppliers can explore a broad array of quantum technologies in both hardware and software with some assurance that end-users will be open to a span of QC use-case options with relatively modest near-term performance gains.

AI and HPDA applications continue to grow in utilization and importance in the HPC space, altering the direction of system architecture and design as well as widening the scope of HPC and AI. HPC system architects now have to factor in a variety of processor technologies as well as interconnect, storage, and memory configurations to handle a more diverse set of workloads. Not only are HPC sites adopting emergent AI and HPDA workloads, but some are applying AI techniques to traditional modelling and simulation workloads to uncover new capabilities and solutions. This frequent pairing of simulation and analytics requires that HPC system designs be both compute and data friendly. As a result, recent designs are starting to reverse the emphasis on compute-centrism of past decades and establishing a better balance. Insights into the critical factors driving these and other trends are detailed in the 2021 iteration of Hyperion Research's annual Multi-Client Study (MCS) end users' report, AI and HPDA Usage and Future Technology Trends. Key findings from the report are summarized in this document.