Expertise is a Major Concern for Both HPC and AI Users

Key findings from a recent Hyperion Research study indicate that HPC storage solutions, and associated storage and system interconnects, continue to be critical for HPC infrastructure to deliver optimal capabilities and provide the fastest time to results for the systems' users. Data-intensive workloads driven by new AI/ML/DL workloads, increasing scale of traditional HPC modelling and simulation, emerging edge computing, and emerging composable systems are placing greater demands and requirements on HPC storage systems. Insights into the critical factors driving these and other trends are detailed in the 2022 iteration of Hyperion Research's annual MCS end users' study, 2022 HPC Multi-Client Study: Trends and Forecasts in HPC Storage and Interconnects. Key findings from the report are summarized in this document.

Storage and interconnects continue to be important elements of HPC system architecture and are expected to take on even greater significance with increasing demanding and diverse requirements driven by both traditional compute-intensive HPC mod/sim workloads and data-intensive AI workloads. The significance is reflected in recent market data and near-term forecasts, technology adoption and utilization trends, industry announcements in the second half of 2021, and future storage and related technology research direction of Hyperion Research.