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Status Not under consideration
Created by Guest
Created on Feb 27, 2023

Enabling Watson Orchestrate to analyse, optimizing the decision making, and perform the optimization in the resource management of the Spectrum Scale Storage and GPU Direct Memory

Sooner or later, Cognitive computing will optimize the operations and resource management of the Storage and Memory," Watson Orchestrate for Storage and Memory Resources Management", logically we can consider it the  evolution of the Spectrum Scale ,  because Watson Orchestrate for Storage and Memory Resources Management will analyse the transferred data, understand the meaning and take the right decision to allocate the resources depending on the  importance of the jobs.

Watson Orchestrate for Storage and Memory Resources Management will analyze the following data : :

1- Data Tables

2- Charts

3- Diagrams

4- Maps

5- Text,

6- images

7- Telemetry data

8- other types,

Idea priority Medium
  • Admin
    ALEX STRALEY
    Apr 27, 2023

    Thank you for sharing these suggestions. At this time we won't be moving forward with them, but we are preparing new experiences that will make it easier to build your own skills within Watson Orchestrate. We look forward to hearing more suggestions in the future.

  • Guest
    Apr 26, 2023

    Hi,

    Kindly, review the attached PDF File which includes the Use Cases that you asked about.

    Please Note, my ideas are concentrated on the Heterogeneous computing including IBM Power , IBM Z, IBM LinuxONE, Intel IPU, Intel Servers, Intel FPGA , Nvidia DGX, Nvidia DPU, Nvidia GPU, AMD Servers, Xilinx FPGA and other future Systems from other companies.

    I will be very pleased to answer your questions.

    Thanks, with kindest regards,

  • Guest
    Apr 26, 2023

    Hi,

    Kindly, review the attached PDF File which includes the Use Cases that you asked about.

    Please Note, my ideas are concentrated on the Heterogeneous computing including IBM Power , IBM Z, IBM LinuxONE, Intel IPU, Intel Servers, Intel FPGA , Nvidia DGX, Nvidia DPU, Nvidia GPU, AMD Servers, Xilinx FPGA and other future Systems from other companies.


    I will be very pleased to answer your questions.


    Thanks, with kindest regards,


    Abdullah A. Jassim

    University of Baghdad