DEEP Framework for Deep Learning: Deep Learning on a Cloud and HPC Environment

Throughout the year, Hyperion Research uses our surveys to ask buyers about near-term expectations for their spending on HPC. We ask whether, in the next quarter, they expect the amount they spend to increase, decrease or stay the same. If they expect spending to go up or down in the next quarter, we ask by what percentage. The questions and resulting data are not limited to servers but also include anticipated spending on cloud usage and on desktop computers. We then use this data collected over multiple quarters, along with historical revenue patterns and other sources, to help us generate our HPC market forecasts.

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.