The business world is rapidly being transformed by artificial intelligence (AI), high-performance computing (HPC), analytics, and hybrid cloud technologies. But unlike traditional applications that work with structured data stored in databases, these new workloads and data lakes operate on a vast ocean of unstructured data, such as documents, audio, images, and videos. As a result, organizations are having to re-think their data storage strategies and adapt to new ways of working, including how to leverage AI to unlock the value of their data – wherever it might reside. IT leaders face many new challenges including: – Accessing and analyzing data and workloads scattered across the globe; – The increasing time needed by AI training and inferencing workloads; – The cost and scarcity of resources, especially graphic processing units (GPUs).

Addressing these challenges requires specialized software and hardware: – IBM Storage Scale is software-defined file and object storage for both structured and unstructured data; – IBM Storage Scale System 3500 is a hardware implementation of Storage Scale software designed for AI, HPC, analytics, and hybrid cloud workloads; – IBM Storage Scale System 6000 builds on the Storage Scale System 3500 with increased capacity and performance capabilities designed to address the requirements of the most demanding workloads.