Buyers’ Expected HPC Spending Changes: On-Premises and Cloud

The application software landscape is quickly evolving along with HPC workloads. Independent software vendor (ISV) applications, as opposed to open-source or home-grown, have traditionally been considered the gold standard as the source for many HPC applications and were frequently cited as HPC users' top applications. While ISV revenues continue to rise, open-source application use is growing as well. Although HPC users can be reluctant to change the applications used at their site, developments such as the onset of AI, new types of hardware, and the cloud have spurred many users to explore new applications they may not have considered otherwise. Overall, the HPC application software landscape is rapidly developing in tandem with new HPC infrastructure and use cases.

With a theme of Reinventing HPC, ISC24 provided a venue for the global HPC community to come together and share knowledge and experiences relative to the latest market developments and technology innovations for the evolution of advanced technical computing. That said, it was clear that this was the year that AI took over the conference and was the key topic of discussion. Issues at the forefront centered on new hardware and software to support the rapidly expanding demand for AI training and inference, the promise and concerns with AI 's abilities to accelerate scientific and engineering workloads, apprehensions with the relative slowdown in performance progress made in the traditional HPC space, the growing presence and influence of cloud-based capabilities and their associated providers, especially in the areas of AI, and the issues, if not angst, of new AI processor availability, performance, and cost. Indeed, the approximately 3,200 attendees reflected a wide array of sentiment towards the convergence and adoption of AI within the worldwide scientific and research community, ranging from examples of compelling use cases and success stories to lessons learned from associated challenges, to "… AI will soon be inflicted upon us … ."