More Sites are Employing Multiple CSPs
Authors: Mark Nossokoff, Jaclyn Ludema and Melissa Riddle
Publication Date: July 2023
Length: 3 pages
As utilization of HPC resources in the cloud continues to grow, users are turning to multiple CSPs to satisfy their HPC cloud resource requirements. Sites surveyed in this study who indicated they utilized HPC resources in the cloud employed an average of approximately two CSPs for their HPC workloads. Reasons for employing a multi-cloud strategy include:
- Gaining access to specialized hardware only available on one CSP platform, like the TPU from Google or the Trainium processor from AWS
- Accessing specific tools or services
- Leveraging a dataset hosted on a specific cloud platform
- Collaborating with other researchers who utilize different platforms
This data is from an annual study which is part of the eighth edition of Hyperion Research’s high-performance computing (HPC) end-user-based tracking of the HPC marketplace. It included 181 HPC end-user sites with 3,830 HPC systems.
EuroEXA Update 2020
Thomas Gerard, Bob Sorensen
Dating back to 1986, ISC is the world's longest running and Europe's foremost HPC conference. In June 2020, ISC held ISC2020 Digital, an online event for the HPC community. This report summarizes a presentation from that digital conference: an update on the EuroEXA project given by Peter Hopton, founder and innovator behind Iceotope and the VeryPC Group, as well as the chair of both the Data Centre Strategy and Future Computing Systems committees at the British Computer Society (the Chartered Institute for IT).
November 2020 | Uncategorized
49% of HPC Sites Indicate That AI Expertise Is the Number One Barrier to Increased AI Adoption and Usage
Tom Sorensen and Earl Joseph
Expertise is now a major concern for both HPC and AI centers, outranked only by budget concerns. When asked about barriers to furthering AI capabilities, AI-specific expertise was a significant concern. Popular responses included access to AI expertise (49%), skills in AI model development (47%), and skills in AI programming (36%). This development comes at a time when a third of HPC sites (33%) report a lack of knowledge or skilled staff and identified this issue among their top three barriers to expanding on-premises HPC. This data is from the eighth annual study of Hyperion Research's high-performance computing (HPC) end-user-based tracking of the HPC marketplace. It included 181 HPC end-user sites with 3,830 HPC systems.
May 20 | Uncategorized