Advanced Research Computing

  1. November 13, 2024

    How to reduce energy waste in training AI models

    A less wasteful way to train large language models for artificial intelligence, such as the GPT series, finishes in the same amount of time for up to 30% less energy, according to a new study from U-M.

  2. May 11, 2023

    Data Den service now supports storage of sensitive data

    The university’s Data Den Research Archive, a service for preserving electronic data generated from research activities, now supports the storage of sensitive data, including medical and educational information.

  3. September 1, 2021

    No-cost research computing allocations now available

    Researchers on all university campuses can now sign up for the U-M Research Computing Package, a new package of no-cost supercomputing resources provided by Information and Technology Services.

  4. June 29, 2021

    New research computing package supports data-intensive research

    Information and Technology Services has launched a new package of supercomputing resources for researchers and Ph.D. students on all U-M campuses: the U-M Research Computing Package.

  5. December 15, 2017

    U-M fosters thriving artificial intelligence, machine learning research

    Research using machine learning and artificial intelligence — tools that allow computers to learn about and predict outcomes from massive datasets — has been booming at U-M.

  6. November 7, 2017

    U-M, Cavium partner on big data research computing platform

    A new partnership between U-M and the semiconductor company Cavium Inc. will create a powerful new big data computing cluster available to all U-M researchers.

  7. April 4, 2017

    UMOR to honor six staff members for outstanding research service

    Six U-M staff members will be recognized for outstanding research service with the Research Technical Staff Recognition Award, Research Administrator Recognition Award and Office of Research Exceptional Service Award.

  8. September 8, 2016

    U-M, Yottabyte partner to accelerate data-intensive research

    U-M and software company Yottabyte are partnering to provide a flexible computing cloud for complex computational analyses of sensitive and restricted data.

  9. April 6, 2016

    U-M, IBM collaborate on data-centric high performance computing

    U-M is collaborating with IBM to develop and deliver “data-centric” supercomputing systems designed to increase the pace of scientific discovery in a broad range of fields.

  10. January 27, 2016

    Program gives undergraduates use of high-performance computing

    Advanced Research Computing — Technology Services is launching a new program to assist faculty working with undergraduate students on research that requires high performance computing resources.