More Sites are Employing Multiple CSPs
$1,500.00
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.
Related Products
Hyperion Research Study Quantifies Use of HPC Economically Important AI Applications
Steve Conway, Alex Norton, Earl Joseph
Several years ago, anecdotal evidence led Hyperion Research to compile a list of applications that promised to be the most economically important HPC-enabled AI use cases. Rather than simply drawing attention as interesting one-off examples, these applications had emerged as repetitive AI workloads that vendors could begin to pursue as emerging market segments. Hyperion Research's recently completed multi-client study of the worldwide HPC market presented a direct opportunity to ask HPC user organizations whether they use or plan to use any of the economically important HPC-enabled AI applications.
7 2021 | Uncategorized