Hyperion Research LogoHyperion Research Logo_StickyHyperion Research LogoHyperion Research Logo
  • Home
  • Services
    • Consulting Services
    • Artificial Intelligence-High Performance Data Analysis (AI-HPDA)
    • Traditional and Emerging HPC
    • Quantum Computing Continuing Information Service
    • HPC User Forum
    • Worldwide High Performance Technical Server QView
    • Worldwide HPC Server, Verticals and Countries Forecast Database
    • HPC End-User Multi-Client Study 2024
    • High-Performance Computing Pathfinders
    • Cloud Computing Program
  • Team
  • Sample Projects
    • List of Recent Reports
    • Top 10 Predictions for the Global HPC-AI Community for 2025
    • QC Optimization Status and Prospects
    • To Out-compute is to Out-compete: Competitive Threats and Opportunities Relative to U.S. Government HPC Leadership
    • HPC-AI Success Story
    • HPC+AI Market Update SC24
    • Taxonomy
      • AI-HPDA Taxonomy
      • HPC Server Tracking and Application Workload Segments
      • Traditional HPC and AI-HPDA Subverticals
    • NERSC Update, May 2021 HPC User Forum
    • Cloud Computing Changing HPC Spending
    • NASA Bespoke HPC Study
    • ROI with HPC
    • Interview Series
    • Cloud Application Assessment Tool
    • MCS Server Highlights 2021
    • QC User Study 2021
    • HPC Storage Review 2021 First Half Yr
    • Hyperion Research Sponsored Tech Spotlight AMD-Supermicro
    • U.S. HPC Centers of Activity
  • Events
  • Contact
0

$0.00

LOGIN
✕
  • Home
  • Special Analysis
  • 2021 AI, HPDA, and Future Technology Trends
Awaiting product image

2021 AI, HPDA, and Future Technology Trends

$3,500.00

Authors: Alex Norton, Steve Conway

Publication Date: November 202021

Length: 4 pages

Category: Special Analysis
Share
Description

AI and HPDA applications continue to grow in utilization and importance in the HPC space, altering the direction of system architecture and design as well as widening the scope of HPC and AI. HPC system architects now have to factor in a variety of processor technologies as well as interconnect, storage, and memory configurations to handle a more diverse set of workloads. Not only are HPC sites adopting emergent AI and HPDA workloads, but some are applying AI techniques to traditional modelling and simulation workloads to uncover new capabilities and solutions. This frequent pairing of simulation and analytics requires that HPC system designs be both compute and data friendly. As a result, recent designs are starting to reverse the emphasis on compute-centrism of past decades and establishing a better balance. Insights into the critical factors driving these and other trends are detailed in the 2021 iteration of Hyperion Research’s annual Multi-Client Study (MCS) end users’ report, AI and HPDA Usage and Future Technology Trends. Key findings from the report are summarized in this document.

Related Products

    Updated Financial ROI and Innovation ROR Results from Investments in HPC

    Earl Joseph, Steve Conway, Alex Norton

    Hyperion Research's continuing efforts in Return on Investment (ROI) research examine individual HPC projects and measure the amounts spent on the HPC resources compared with the projects' financial and innovation returns. This report provides an update on this research, including new ROI and Return on Research (ROR) data and additional analysis. Key findings of this updated research include:

    • Updated results continue to indicate substantial returns for investments in HPC: * The data now covers 763 successful HPC projects
    • On average $507 dollars in revenue per dollar of HPC invested was generated * On average $47 dollars of profit (or cost savings) per dollar of HPC invested was generated * The average HPC investment per innovation was $2.6 million

    November 2020 | Special Analysis

    US Government Offers New Advanced Computing Strategy Centered on Key National Priorities

    Bob Sorensen, Thomas Gerard

    The US Government's Office of Science and Technology Policy (OSTP) recently released a Federal strategic plan for a whole-of-nation approach to pioneering the future national advanced computing ecosystem that targets key application drivers and strategic objectives considered essential to US leadership, economic competitiveness, and national security. The plan specifically called out three critical application areas:

      • Extreme scale modeling and simulation
      • Data-intensive application workflows
      • End-to-end and real-time application workflows

     

    The plan also arrays a number of key strategic objectives, including:

      • The development of an advanced ecosystem that spans government, academia, non-profits and industry
      • The support of foundational, applied and translational research
      • The expansion of a diverse, capable and flexible workforce

     

    The strategic plan delineates US government agency roles and responsibilities and describes essential operational and coordination structures necessary to support and implement its objectives.

    December 2020 | Special Analysis

Have any questions?

365 Summit Ave.
St. Paul MN 55102, USA.

info@hyperionres.com

© 2021 Hyperion Research. All Rights Reserved | Privacy Policy | Website Terms of Use
LOGIN
0

$0.00

✕

Login

Lost your password?