
IBM Storage Scale System 6000 with NVIDIA DGX SuperPOD Deployment Guide
Autor: Chris Maestas , Ana Gabriela Iturbe Desentis , Phillip Gerrard , Kiran Ghag , Nikhil Khandelwal , Matthew Klos , John Lewars , Jesus Daniel Munoz Lopez , Roger E. Sanders , Sanjay Sudam , Lindsay Todd , Joanna Wong , Ibm Redbooks
Número de Páginas: 146The business world is being transformed rapidly by artificial intelligence (AI), high-performance computing (HPC), analytics, and hybrid cloud technologies. Unlike traditional applications that work with structured data that is stored in databases, these new workloads operate on a vast ocean of unstructured data, such as documents, images, videos, audio recordings, log files, or any other information that can be generated by users, applications, or even machines. As a result, organizations are having to re-think their data storage strategies and adapt to new ways of working, including how to use AI to unlock the value of their data, wherever it might be. Information technology (IT) leaders face many new challenges: - Accessing and analyzing data that is scattered across the globe - The increasing time and resources that are needed by AI training and inferencing workloads - The cost and scarcity of resources, such as NVIDIA graphics processing units (GPUs) Addressing these challenges requires specialized software and hardware: - IBM Storage Scale: Software-defined file and object storage for both structured and unstructured data. - IBM Storage Scale System 6000: A hardware...


















