Enterprise High Performance Computing

Traditional and AI-Focused HPC Compute, Storage, Software, and Services: Market Analysis and Forecasts Over the past two decades, enterprises have realized the value of using clusters of computers to solve complex mathematical, computational, and simulation/modeling problems. By addressing these massive problems using parallel computing techniques (allowing the problem to be split into parts that can be tackled by individual or groups of processors), the time to complete a solution can be drastically reduced. However, as enterprises have become more focused on automating manual processes, as well as incorporating some degree of cognition or intelligence into their systems, it has become clear that these processes require the ingestion and analysis of large amounts of data, and single workstation or server-based processing would simply lack the speed and power to provide results in a reasonable amount of time. Tractica forecasts that the overall market for enterprise high performance computing (HPC) hardware, software, storage, and networking equipment will reach $31.5 billion annually by 2025, an increase from approximately $18.8 billion in 2017. The market is currently dominated by HPC equipment utilized for traditional use cases, or situations in which an HPC system is used for heavy-duty number crunching, simulation, and analysis, techniques that require the brute force of cluster computing to reduce the time to complete complex calculations.