Running a Pre-Exascale, Geographically Distributed, MultiCloud Scientific Simulation

Expertise is now a major concern for both HPC and AI users, outranked only by budget concerns among top barriers to expanding HPC on-premises. A third of HPC sites (33.1%) reported that lack of knowledge or skilled support staff was one of their top three barriers. Only a third of respondents (35.4%) report that they do not have any staffing concerns within the next year. When asked about barriers to furthering AI capabilities, AI-specific expertise was identified as a significant concern. Other significant barriers also included access to AI expertise (48.9%), skills in AI model development (47.2%), and skills in AI programming (36.1%). This data is from an annual study that is part of the eighth edition of Hyperion Research's HPC end-user-based tracking of the HPC marketplace. It included 181 HPC end-user sites with 3,830 HPC systems.

Surpassing pre-pandemic attendance and achieving new attendance and exhibitor participation records, SC23 in Denver, CO did not disappoint. With over 14,000 on-site attendees and over 435 exhibitors, SC23 provided a vibrant, high-energy environment for the global HPC community to exchange ideas while establishing or extending collaborative partnerships and relationships. As is our custom, the Hyperion Research team of analysts has compiled its primary takeaways and perspectives from the event.