IBM Storage Scale System 6000: Unified Storage for AI, HPC, and Data-Intensive Workloads

IBM continues to evolve its Storage Scale System 6000 platform to address a familiar problem in modern data centers: data silos that slow down AI initiatives, increase infrastructure complexity, and strand valuable information. By unifying data across edge, core, and cloud through a single global namespace and Active File Management (AFM), the Storage Scale System 6000 is designed to give organizations a consistent, high-performance data platform that can feed GPUs and CPUs at scale. The result is a storage foundation that enables AI pipelines to start immediately and deliver results faster, rather than waiting for legacy storage constraints.

The latest updates center on two top-of-mind themes for organizations today: unlocking dark data and removing AI inference and training bottlenecks. IBM addresses these priorities with a new all-flash expansion enclosure, support for high-capacity QLC NVMe media, and an upgraded software stack that targets both performance and efficiency….