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Artificial Intelligence (AI)

A Hyperion Research Continuous Intelligence Service

Our AI Subscription Service has been enriched to now include AI-focused studies in response to the most important changes, challenges, and opportunities in this rapidly evolving sector.

Our analysis is informed by a continual series of surveys/interviews of computing developers and end users from around the world, spanning academia, government, and industry organizations.

The AI Subscription Service also now includes the weekly Advanced Computing News Update.

We have recently expanded our market tracking to include non-traditional server suppliers like NVIDIA. This has increased the HPC/AI market by over 37%. In addition, the move to expand AI capabilities has changed the HPC/AI market from a 7% 5-year CAGR to over 15% CAGR.

Included in the new AI Subscription Service:

AI-focused Studies

  • Large Language Models: Finding Their Place in the HPC Ecosystem. This study was conducted across industry verticals, governmental organizations, and academic institutions to capture the current activity, intent, and details regarding experimental and production LLM applications. The respondents provided insights on model types, integration techniques, support requirements, and budgetary considerations. This report brings into focus the emergence of AI and LLM capabilities in a wide range of application spaces as well as the rate at which this technology is being integrated into key sectors and industry verticals. It also contains information on the landscape of LLM and AI development from proprietary to open-source offerings. Click here for more information.
  • Cloud-based AI Activity for HPC: Widespread but Primarily Exploratory. This study captures insights at the intersection of advanced AI usage and cloud computing resources. Respondents answered questions and offered insights regarding the relationship between on-premises resources and cloud computing. It also provides information on various stages of integration into production environments, which application spaces are being most often accelerated or enabled, and budgetary considerations for provisioning compute and infrastructure resources for growing AI/LLM capabilities. The report and study also provide an overview of the cloud computing landscape of the major providers and lists specific cloud resources most often used for AI at scale. Click here for more information.
  • End-User Inferencing: Inference Practices. This study is designed to gain a further understanding of the current mindset of those who now have, or plan to have, integrated advanced AI into their HPC or advanced computing environment. Providers’ status, budgetary considerations, integration drivers, and sentiment, both current and future-looking, will be key features in this effort. Click here for more information.

AI Subscription Documents

Hyperion Research’s AI rolling 12-month subscription service (previously called AI-HPDA) has a 10-year history of targeted documents summarizing and providing analysis on recent studies, news, recent technology developments, products, and HPC User Forum AI-related presentations. These documents are valuable to all experiencing the AI and traditional HPC market revolution.

Analyst Inquiry

Analyst inquiry consultation (virtual; up to 5 hours/year) is included in the AI Subscription Service. Clients may use this valuable time to discuss topics and questions of interest, as well as potential study opportunities, with one of our experienced analysts. At times, the inquiry may include a data cut, depending on the ease and availability of the requested data. Note: additional analyst inquiry is available for purchase if necessary.

AI Advisory Committee Membership

Qualified individuals will be invited to apply to the AI Advisory Committee. The mission of the AI Advisory Committee is to support the worldwide AI/HPC community by helping answer key questions about how AI is evolving. Members are from all over the world and from various areas of the AI ecosystem (users, vendors, CSPs, academic experts, etc.). Members will receive the ability to help guide Hyperion Research studies with questions that are important to the Committee members. See attached for more information. Click here for more information.

Advanced Computing News Update

The Hyperion Research Advanced Computing News Update is a weekly periodical containing a curated set of industry-relevant articles, press releases, and global developments from the preceding week. Presented in both plain text and sourced via hyperlink, each article has been selected by our analyst team for its interest, accuracy, and timeliness. The weekly news service provides a focused, up-to-date dashboard of global developments in advanced computing, big data, artificial intelligence, and emerging technologies.

  • Coverage spans academic, commercial, and government end users, with a focus on HPC/AI users conducting scientific and engineering workloads.
  • Tracks emerging technology trends across AI, including machine learning, deep learning, LLMs, and the generative AI sector.
  • Includes global coverage of AI hardware and software supplier strategies and capabilities, as well as AI end user challenges and opportunities for integrating AI into overall computational capabilities.
  • Provides insights on market trends, end-user budgets, resource commitments, procurement activities, and key vendor perspectives, developments, and market strategies.
  • Tracks both on-premises purchases and the use of cloud resources for running AI workloads.
  • AI hardware spanning traditional processors, GPUs, custom AI accelerators, and related AI system-level products.
  • AI software for various AI sectors, including machine learning, deep learning, and generative AI, covering commercial, open-source, and in-house AI software development activities.
  • Challenges and opportunities for the overall advanced computing community enabled by AI techniques.
  • Coverage of on-premises, cloud, and hybrid AI options, opportunities, and challenges.
  • What impact will AI have on accelerating the performance of key HPC-based science and engineering workloads?
  • What are the key AI-based hardware and software challenges and opportunities facing advanced computing sites interested in integrating AI into their overall advanced computing ecosystem?
  • What is the size of the market divided by regions, sectors, verticals, countries, technologies, etc.?
  • What are the most important technology and performance trends for current and planned GPUs and AI accelerators, and who are the key providers of these components?
  • What are the key decision points in determining the best software options to support advanced computing AI requirements?
  • What are the key emerging AI technologies that could have a significant impact over the next three to five years?