APAC CIO Outlook
  • Home
  • CXO Insights
  • CIO Views
  • Vendors
  • News
  • Conferences
  • Whitepapers
  • Newsletter
  • Awards
Apac
  • Agile

    AI Healthcare

    Artificial Intelligence

    Aviation

    Bi and Analytics

    Big Data

    Cloud

    Cyber Security

    Digital Infrastructure

    Digital Marketing

    Digital Transformation

    Digital Twin

    Drone

    Internet of Things

    Low Code No Code

    Networking

    Remote Work

    Startup

    Unified Communication

    Wireless

  • E-Commerce

    Education

    FinTech

    Healthcare

    Manufacturing

    Pharma and Life Science

    Retail

    Travel and Hospitality

  • Dell

    IBM

    Microsoft

    Salesforce

    SAP

  • Cognitive

    Compliance

    Contact Center

    Corporate Finance

    Data Center

    Data Integration

    Digital Asset Management

    Full Stack Development

    HR Technology

    IT Service Management

    Managed Services

    Procurement

    Proptech

    RegTech

Menu
    • Compliance
    • IBM
    • Big Data
    • Unified Communication
    • Digital Infrastructure
    • Data Center
    • Salesforce
    • MORE
    #

    Apac CIO Outlook Weekly Brief

    ×

    Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Apac CIO Outlook

    Subscribe

    loading

    THANK YOU FOR SUBSCRIBING

    • Home
    • News
    • HPC
    Editor's Pick (1 - 4 of 8)
    left
    Operation Excellence through Virtualization: America's Oldest Bank takes on the Future of VMWare Integration

    Jim Mignone, SVP & CIO and Daryl Clark, VP & Director of Technology, Washington Trust

    The Human Capital of High-Performance Computing

    Mike Fisk, Ex-CIO, Los Alamos National Laboratory

    Navigating Technology Transformations for CIO Success

    Steve Betts, SVP & CIO, Health Care Service Corporation

    CIOs Shouldn't See OpenStack and Public Clouds as an Either/or Proposition

    Shelton Shugar, CIO, Barclaycard [NYSE:BCS-D]

    Edge Computing: Does it Support Customer Intimacy and the Race to Digitization

    Mark Thiele, CIO & CSO, Apcera and Chairman of the IDCA Technical Committee

    Diligent IT Adoption for Maximum Gain

    Patrick Quinn, CIO, Acuity Brands Lighting

    HPC in the Cloud

    Mark Seager, Intel Fellow, CTO, the Intel Technical Computing Group Ecosystem

    Deep Learning and Future of Healthcare

    Sanjib Basak, Data Science Lead - Watson Health, IBM

    right

    How AI Is Scaling The Workload With The Help of HPC System

    Apac CIO Outlook | Wednesday, December 01, 2021
    Tweet

    Fremont, CA: The capacity to analyze data and perform complicated computations rapidly is known as high-performance computing (HPC). HPC employs clusters of machines that are linked together to allow tasks to get processed in parallel. The supercomputer is one of the most well-known forms of HPC systems. A supercomputer consists of thousands of computing nodes that collaborate to execute various tasks.

    The size and volume of data that enterprises must manage are expanding quickly as artificial intelligence applications advance. The capacity to analyze data in real-time is critical in many domains where AI employs enormous volumes of data, such as data analytics, broadcasting a live sporting event, tracking weather, testing new goods, or evaluating stock patterns. Organizations have used HPC environments to expand their AI workloads because HPC enables developers, organizations, and researchers to train highly sophisticated machine learning algorithms, companies to handle streaming data in real-time, and researchers to do predictive studies.

    In terms of scaling HPC workloads, AI may benefit greatly from HPC systems that can scale massively. Deep learning applied to HPC workloads is referred to as HPC-on-AI. Deep learning is an excellent fit for HPC challenges with enormous, multidimensional data sets. Deep learning on HPC systems, for example, may assist in identifying fraudulent credit card transactions or forecast which individuals are at risk for heart disease. Pattern classification, pattern grouping, and anomaly detection are examples of such tasks.

    One of the industry leaders in this sector, Northern Data provides sustainable and green high-performance computing with proprietary AI that incorporates hundreds of powerful processors operating in parallel to process billions of bits of data in real-time. There is little question that AI will contribute to the future definition of HPC, and more AI applications with huge data loads will grow on HPC as global data generation increases dramatically.

    tag

    Machine Learning

    Weekly Brief

    loading
    ON THE DECK

    Digital Twin 2022

    Top Vendors

    E-Commerce 2022

    Top Vendors

    Previous Next

    I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info

    Read Also

    Achieving Business Agility

    Key Challenges Facing Real-time Data Processing in Data Centers

    Digital Transformation Agility

    Angela Lam, CIO Shell Australia, COG & Integrated Gas, Shell (NYSE: SHEL)

    Technology Trends Impacting Digital Infrastructure in 2022

    The Benefits of Portable Solar Generators for Cities

    Agile Culture -The Path To Business Success

    Loading...

    Copyright © 2022 APAC CIOoutlook. All rights reserved. Registration on or use of this site constitutes acceptance of our Terms of Use and Privacy and Anti Spam Policy 

    |  Sitemap |  Subscribe |   About us

    follow on linkedinfollow on twitter follow on rss
    This content is copyright protected

    However, if you would like to share the information in this article, you may use the link below:

    https://www.apacciooutlook.com/news/how-ai-is-scaling-the-workload-with-the-help-of-hpc-system-nwid-8603.html