AI-Specific Software Use is Low but Poised for Growth
Authors: Thomas Sorensen & Alex Norton
Publication Date: 1 2023
Length: 3 pages
Data collected in the most recent iteration of the Hyperion Research Global End-User Multi-Client Study indicates a strikingly low usage of AI-specific software licenses across all sectors, especially academia and government. This research revealed that only 3.5% of academic and government respondents, combined, were currently using licensed AI software, while the entire survey group exhibited a usage rate of 13.8%. Respondents representing academic sites were the least likely to answer positively in paying for AI software licenses, with a rate of 1.9%, and industry were the most likely at 21.1%. This data indicates an overwhelming preference for open source and in-house solutions for AI software, including training analytics and library interface tools, over proprietary AIspecific software offerings currently on the market.
A Regional View of the HPC Server Market
Hyperion Research recently closed the books on the 2018 year for the high performance computing market in our market tracking database, the QView. 2018 was another high growth year, with the server market reaching $13.7 billion, and the total market (servers, storage, software and technical support services) totaling more than $27.6 billion. The market has continued to grow at a steady rate of around 6% for the past 5 years.
April 2019 | Quick Take
AWS New Bare Metal Instance: Courting the HPC Crowd by Combining Bare Metal Performance with Virtualized Cloud Functionality
Bob Sorensen, Earl Joseph, Steve Conway, Alex Norton
This Quick Take looks at Amazon's recent announcement of a new EC2 Bare Metal offering that provides users with direct, non-virtualized access to a processor, memory, storage and related networking instance. Amazon uses custom hardware in an effort to wring out the highest possible performance from the basic hardware set up while still offering a full complement of cloud-based software support. This development is a positive one for HPC users looking to migrate workloads to public clouds as Amazon is addressing one of the most vexinghurdles of HPC in the cloud: the performance overhead of running applicationsin a virtualized, performance limiting environment.
January 2018 | Quick Take