49% of HPC Sites Indicate That AI Expertise Is the Number One Barrier to Increased AI Adoption and Usage
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Authors: Tom Sorensen and Earl Joseph
Publication Date: May 20
Length: 3 pages
Expertise is now a major concern for both HPC and AI centers, outranked only by budget concerns. When asked about barriers to furthering AI capabilities, AI-specific expertise was a significant concern. Popular responses included access to AI expertise (49%), skills in AI model development (47%), and skills in AI programming (36%). This development comes at a time when a third of HPC sites (33%) report a lack of knowledge or skilled staff and identified this issue among their top three barriers to expanding on-premises HPC. This data is from the eighth annual study of Hyperion Research’s high-performance computing (HPC) end-user-based tracking of the HPC marketplace. It included 181 HPC end-user sites with 3,830 HPC systems.