This report evaluates the HPC market including companies, solutions, use cases, and applications. Analysis includes HPC by organisational size, software and system type, server type and price band, and industry verticals. The report also assesses the market for integration of various artificial intelligence technologies in HPC.
It also evaluates the exascale-level HPC market including analysis by component, hardware type, service type, and industry vertical. The report provides HPC market sizing by component, hardware type, service type, and industry vertical from 2019 to 2024.
High Performance Computing (HPC) refers to high speed computation, which may be provided via a supercomputer or via parallel processing techniques such as leveraging clusters of computers to aggregate computing power. HPC is well-suited for applications that require high performance data computation and analysis such as high frequency trading, autonomous vehicles, genomics-based personalized medicine, computer-aided design, deep learning, and more. Specific examples include computational fluid dynamics, simulation, modeling, and seismic tomography.
No longer solely the realm of supercomputers, HPC is increasingly provided via cluster computing. By way of example, Hewlett Packard Enterprise (HPE) provides a computational clustering solution in conjunction with Intel that represents HPC Infrastructure as a Service (IaaS). This particular HPC IaaS offering environment provides customized tenant clusters tailored to client and application requirements. Key to this particular solution is the intelligent use of APIs, which enable a high degree of flexibility and what HPE refers to as Dynamic Fabric Configuration.
HPC capabilities are often used to solve very specific problems for large institutions. Examples include financial services organisations, government R&D facilities, universities research, etc. However, the Cloud-computing based as a Service model allows HPC capabilities to be extended via HPC-as-a-Service (HPCaaS) to a much wider range of industry verticals and companies, thereby providing computational services to solve a much broader array of problems. Industry use cases are increasingly emerging that benefit from HPC-level computing, many of which benefit from split processing between localized device/platform and HPCaaS.
Today, HPC is universally associated with classical computing. While quantum computing does not utilize a faster clock-speed than classical computing, it is much faster than traditional computing infrastructure for solving certain problems as quantum computers can handle exponentially larger data sets. Accordingly, quantum computing is well-positioned to support certain industry verticals and solve certain problems such as cybersecurity and cryptocurrencies that rely upon prime factoring. Current classical computing technologies would take an inordinate amount of time to break-down prime factors to support cryptology and blockchain technology.
Due to the limitations of quantum computing, and the evolution of HPC, one can see a future in which hybrid systems utilize both quantum and classical CPUs on the same computing platform. These next generation computing systems will provide the best of both worlds - high speed general purpose computing combined with use case specific ultra-performance for certain tasks that will remain outside the range of binary computation for the foreseeable future. Mind Commerce sees a future of quantum and classical CPUs on the same computing platform, which will lead to a combined general purpose and use case specific computation solution that will solve many industry problems in a more scalable and economic manner.
The report is available at the Research and Markets website.