Deciphering the Drivers and Barriers for HPC Cloud Adoption
Authors: Alex Norton, Earl Joseph
Publication Date: October 2020
Length: 7 pages
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.
Key Takeaways from QC Buyer/Users Study: Expectations for QC Performance Advantage are Broad but Modest
Bob Sorensen, Earl Joseph
According to a recent Hyperion Research study of 115 current and interested QC end-users from both HPC and enterprise IT organizations, the majority would consider a wide range of quantum computing (QC) technology and use-case options spanning new QC and QC-inspired applications, as well as speed-ups of existing applications delivered through a mix of QC or hybrid QC/classical systems. Likewise, these same QC buyers/users reported relatively modest expectations for realized performance gains from QC technology: 78% of respondents would see a performance boost of less than 250X as justification for using QC, and 42% would only need 50X or below. Such expectations bode well for the quantum computing sector writ large as QC developers and suppliers can explore a broad array of quantum technologies in both hardware and software with some assurance that end-users will be open to a span of QC use-case options with relatively modest near-term performance gains.
August 2020 | Special Analysis
Quantum Communications Research Activity: China Widens Lead
Bob Sorensen, Earl Joseph
A review of the number of quantum communications (QComm) research papers published over the last five years shows that QComm basic science as well as R&D efforts are centered within China, with the US a distant second and perhaps falling further behind. Most other nations are publishing a steady, but smaller stream of QComm-related publications well behind what China is producing.
April 2020 | Special Analysis