49% of HPC Sites Indicate That AI Expertise Is the Number One Barrier to Increased AI Adoption and Usage

The usage of multiple programming languages is becoming ubiquitous at HPC sites as the number of languages per site continues to rise. C/C++ and Python are particularly popular, with the majority of HPC sites using both languages at least some of the time. 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.

Several years ago, anecdotal evidence led Hyperion Research to compile a list of applications that promised to be the most economically important HPC-enabled AI use cases. Rather than simply drawing attention as interesting one-off examples, these applications had emerged as repetitive AI workloads that vendors could begin to pursue as emerging market segments. Hyperion Research's recently completed multi-client study of the worldwide HPC market presented a direct opportunity to ask HPC user organizations whether they use or plan to use any of the economically important HPC-enabled AI applications.