IBM Storage Scale is software-defined file and object storage that enables organizations to build a global data platform for artificial intelligence (AI), high-performance computing (HPC), advanced analytics, and other demanding workloads.

Unlike traditional applications that work with structured data, today’s performance-intensive AI and analytics workloads operate on unstructured data, such as documents, audio, images, videos, and other objects.

IBM Storage Scale software provides global data abstraction services that seamlessly connect multiple data sources across multiple locations, including non-IBM storage environments. It’s based on a massively parallel file system and can be deployed on multiple hardware platforms including x86, IBM Power, IBM zSystem mainframes,    ARM-based POSIX client, virtual machines, and Kubernetes.

Storage Scale is widely used for high-performance computing, data-intensive technical computing, big data, and analytics, and these applications have recently been complemented by many new machine learning and AI workloads.

Storage Scale also provides the foundation for IBM Fusion and the IBM Fusion HCI appliance, which enable organizations to quickly and flexibly deploy OpenShift applications and IBM watsonx.

Features

• **High performance object storage: **Give your applications the choice of interfaces to the data it needs with a high-performance S3 interface for your file and object data.
• **Plug-and-play data services: **Leverage software services that are easy to configure and manage while providing the capabilities for AI, HPC and enterprise workloads.
• **Cyber resilient data: **Leverage comprehensive resiliency while protecting your data with IBM SafeGuarded Copy, incorporating the optional IBM CyberVault component.
• **NVIDIA and IBM Storage Scale: **Get support for GPU direct storage (GDS), NVIDIA SuperPOD and NVIDIA AI solutions with three easy-to-install configurations.
• **Kubernetes and IBM Storage Scale: **Access a high-performance interface and simple to deploy and grow storage solution for containers.
• **Cloudera and IBM Storage Scale: **Make the most of IBM Storage Scale Hadoop connector that supports Cloudera Analytics and Apache Spark.

Benefits

• **Improve performance for AI workloads: **Build a globally connected high-performance infrastructure, that is flexible for multiple concurrent workloads.
• **De-risk the business: **Protect data and harden resiliency from attacks or unforeseen downtime and keep your systems on and accessible.
• **Connect and optimize all your data: **Create an open hybrid cloud and connected data platform that modernizes infrastructure with global data unification.