Overview of Key Government Support to Quantum Technology Development

HPC cloud adoption has grown aggressively over the last few years as cloud providers have recognized the HPC market as a high value target and have brought HPC-specific capabilities to their platforms to entice users. This has resulted in growing number of HPC users that are now using external clouds for parts of their HPC workload portfolio.   Hyperion Research has followed the growth vector of cloud adoption for many years and conducted a number of broad studies to better understand the underlying trends of cloud usage. This research has shown that users are contemplating different approaches of cloud adoption including what types of applications to send to the cloud; how much to send to the cloud; and ultimately whether to run a specific workload in the cloud or not.   As the performance capabilities of the cloud for HPC workloads improve, many of the barriers to adoption have been reduced, but some remained consistent barriers despite the technological advancements. These adoption inhibitors may be offset in many situations by the corresponding drivers and benefits. This will lead to increased cloud usage for many HPC applications and workloads in both traditional modeling/simulation as well as artificial intelligence.

A recent survey revealed that HPC end users are looking to change the way they outfit their next HPCs, with many interested in exploring new types of processors, relying increasingly on GPUs and other accelerators to support computational gains, and preparing to increase their budgets to afford continued acquisition of more powerful HPCs. Insights into the critical factors driving these and other trends are detailed in the 2021 iteration of Hyperion Research's annual MCS end users' study, Processors, Coprocessors/Accelerators, and HPC budgets. Key Findings from the report are summarized in this document.