HPC User Budget Map Survey, Special Report: Machine Learning’s Impact on HPC Environments

October 7, 2019|Addison Snell, Christopher G. Willard Ph.D., Laura Segervall

EXECUTIVE SUMMARY

Intersect360 Research surveyed the High Performance Computing (HPC) user community to complete its tenth Site Budget Allocation Map, a look at how
HPC sites divide and spend their budgets. We surveyed users on their spending in seven top-level categories: hardware, software, facilities, staffing,
services, cloud computing, and other. Each category was further divided into constituent subcategories, resulting in 27 unique items included in
the analysis. Additionally, the respondents were asked about their future budget expectations.

For this iteration of the annual Budget Map survey, Intersect360 Research incorporated questions to investigate the use of machine learning and its
interrelationship with HPC budgets, systems, and personnel. This report examines the use of machine learning, the impact on the HPC budget, the
systems used, and the personnel to manage the systems.

Our Budget Map survey series includes the following reports:

HPC Site Budget Allocation Map: Budget Expectations
HPC Site Budget Allocation Map: Budget Distribution
HPC Site Budget Allocation Map: Machine Learning’s Impact on HPC Environments

For this survey, machine learningis defined as an inclusive term. The survey questions focused on the current trends in deep neural networks
(DNNs), including specific use cases in deep learning. More generally, machine learning is the current manifestation of artificial intelligence
(AI). For the purpose of this survey and report, all are referred to as machine learning.

Almost two-thirds (61%) of all survey respondents reported they were running machine learning programs currently, as part of or in addition to their
HPC environments. Another 10% planned to implement machine learning programs in the next year. Most respondents viewed machine learning workloads
as a component of their HPC budget and shared personnel across HPC and machine learning. The machine learning trend is a key factor in the near-term
growth of HPC budgets, and it has already had an effect on HPC installations.

Despite the prevalence of machine learning, Intersect360 Research is cautious in describing the size of the machine learning “market.” At present,
investment in machine learning is a subset of the HPC and Hyperscale markets. For further reading, refer to the following additional reports from
Intersect360 Research:

Worldwide AI and Machine Learning Training Market Model: 2018 Spending and Future Outlook
Worldwide High Performance Computing 2018 Total Market Model and 2019–2023 Forecast: Products and Services
Worldwide Hyperscale Market Model: 2018 Revenue and Future Outlook

TECHNOLOGIES COVERED IN THIS REPORT

HPC system elements
Systems, clusters
Processor elements
Accelerators
Software elements
Application software
In-house developed applications
Cloud computing, grid computing, utility computing
Public cloud technologies
Other Technologies
Artificial Intelligence/Machine Learning/Deep Learning

Download Report - Advisory Clients

Purchase Report

Apply for Academic Citation

Back to All Reports

Access License

Clear

Purchase Reports

Single User Access

Single-User Access ($490): Report is for the sole use of one person, such as for forecasting or product planning. Redistribution or sharing of the reports is prohibited, even internally within the purchasing organization or department. Citation of quotes or data, such as on a web site, in a press release, or for enterprise use, requires approval from Intersect360 Research.

Enterprise Usage

Enterprise-Wide Usage ($2,400): Report can be shared within the purchasing organization—for example, across product, strategy, sales, or forecasting teams. This does not extend to partner organizations, such as suppliers or resellers, but does include contractors working for the purchasing organization. Public citation of quotes or data, such as on a web site or in a press release, requires approval from Intersect360 Research. Advisory service clients are granted enterprise-wide usage rights for all reports in the subscribed service (HPC Advisory Service or Hyperscale Advisory Service), but not reprint rights unless purchased separately.

Reprints

Reprints ($4,800 per report): Full redistribution rights for some or all of a report, such as for PR purposes, including email, print, web, or other distribution. The reports may not be edited in any way except as approved by Intersect360 Research (such as to excerpt a section or to highlight particular text). An organization must have enterprise usage of a report—either through individual report purchase or advisory service access—to purchase reprints. Contact Intersect360 Research to purchase.