Market for AI-powered High-Performance Computing will be worth $37.4 billion by 2028

AI-powered HPC market to reach $37.4 billion by 2028

The High-Performance Computing (HPC) market encompasses computation solutions offered by supercomputers or parallel processing strategies, such as using computer clusters to pool computing resources. By 2028, the global AI-powered HPC market will be worth $37.4 billion, primarily due to simulations, engineering, and design solutions.

Applications like high-frequency trading, autonomous vehicles, genomics-based customized medicine, computer-aided design, deep learning, and more that call for high-performance data computing and analysis are well suited for HPC. Seismic tomography, simulation, and computational fluid dynamics are some specific examples.

The HPC market, encompassing vendors, products, use cases, and applications, is assessed in the Research and Markets research. HPC analysis considers the organizational size, software and system type, server type, price band, and industry verticals.

Large organizations and universities dominate the AI-powered HPC market.

By virtue of capabilities frequently employed to address extremely particular challenges for major institutions, large enterprises, universities, and government organizations currently dominate the demand side. Examples include financial services companies, government research and development centers, and academic research.

On the other hand, the “as a Service” paradigm for cloud computing enables the extension of HPC market offerings via HPC-as-a-Service (HPCaaS) to a considerably more comprehensive variety of industry verticals and businesses providing computational services to solve a much wider range of problems. Industrial use cases that profit from HPC-level computing are becoming more prevalent, and many gain from splitting processing between localized devices/platforms and HPCaaS.

HPCaaS is expected to become much more widely accessible, partly because of new on-demand supercomputer service options and partly because of the development of AI-based engineering tools. As a result, up to 54% of income will be directly attributable to HPCaaS’s cloud-based business model, which makes High-Performance Computing solutions available to a much wider range of industry verticals and businesses and offers computational services to address a much wider range of challenges.

Problems faced by HPC as a Service

The market for HPC as a Service (i.e., access to high-performance computing services) is now plagued by issues with supercomputer utilization, scheduling, and setup times. We located start-ups and small businesses attempting to address these issues.

Low usage of most supercomputers, which unfortunately also results in excessive wait times, is a recognized difficulty. Regarding the estimation of workload time, scheduling can be difficult. Approximately 29% of tasks need significant computation, and 41% of jobs are difficult to predict in duration (within a 3-minute window at best). Users frequently request necessary resources but don’t utilize any computing time.

The business is attempting to overcome significant barriers to the usage and accessibility of HPC resources. The company focuses on addressing a critical skills gap and supercomputer job setup issue. Supercomputing will become much more accessible thanks to their “Guru” solution, especially for engineers working for small and medium-sized organizations.


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