Storage for Data and AI

High-performance file and object storage for AI, ML, analytics and NVIDIA workloads.
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IBM has been named a Leader in the 2025 Gartner® Magic Quadrant™ for Enterprise Storage Platforms.

Find out why IBM has been recognized. IBM has previously been recognized 17 consecutive times as a Leader in the Magic Quadrant for Primary Storage Platform.**

Read the report

Unlock the value of data throughout your information supply chain with IBM Storage solutions.

Many organizations today are modernizing their data storage infrastructure to take advantage of the business opportunities presented by artificial intelligence (AI), machine learning (ML) and advanced analytics. They’re challenged by data and workloads that are scattered across the globe, by the increasing time needed by AI training and inferencing workloads and by the cost of scarcity of resources, especially graphic processing units (GPUs).

IBM Storage solutions for data and AI deliver data at scale while maintaining high performance, low latency and managed data access with limited to no downtime. Realize faster time to value for data with a unified storage platform that consolidates file, block and object data services and integrates with existing IT investments.

Content-Aware IBM Storage Scale
Unlock the hidden value of your enterprise data.

Very little enterprise data is used to train the large language models underlying their chatbots and other AI assistants, limiting their business value. The content-aware storage capabilities in IBM Storage Scale address this challenge by extracting the semantic meaning hidden inside unstructured data so that AI assistants can automatically generate smarter answers.

Solve your data challenges Realize faster time to value for data and digital transformation with a unified storage platform that consolidates file, block and object data services.
Retrieve data faster

Deliver data at scale while maintaining high performance, low latency and managed data access with limited to no downtime.

Reduce silos

Consolidate more data and workloads on one platform capable of running at the edge, on-premises and in cloud environments. 

Improve collaboration

Share data and workloads with the right people at the right time to increase workforce productivity, reduce copies and improve resource usage.

Simplify operations 

Centralize data and application services by managing them on a single, scalable platform that integrates with existing IT investments.

Optimize costs

Reduce application and data sprawl with a unified, flexible storage platform that scales up or down and in or out without compromising performance.

Reduce risk

Safeguard applications and data, enabling quick recovery from breaches and attacks, with integrated security and ransomware protection capabilities.

IBM Storage Scale

Leverage a scale-out file and object, software-defined storage platform designed for AI, ML and high-performance computing workloads.

Explore IBM Storage Scale
IBM Storage Scale System

Take advantage of an all-flash, hybrid elastic compute and storage building block to create high-performing clusters for IBM Storage Scale in a sustainable IT architecture.

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IBM Storage Ceph®

Capitalize on an open source, software-defined storage solution designed to address the block, file and object storage needs of modern enterprises for general purpose workloads.

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IBM Fusion

Experience the easiest way to deploy OpenShift applications and harness watson.x's AI capabilities, while seamlessly integrating virtualization and containerization.

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Storage for data and AI case studies 
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Smart data management, smart vehicles
Continental Automotive AG performs 14 times more deep learning experiments per month, while reducing AI training time from weeks to days for its autonomous driving solutions.
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Innovative research, simplified data compliance
The University of Birmingham helps thousands of researchers find solutions to critical issues faster, while cutting costs and supporting compliance mandates.
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Faster time to discovery, high-performance data fabric
The University of Queensland accelerates image-intensive and AI workloads for cutting-edge research, including a 74% faster runtime for medical imaging analysis.
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Technological innovation, ultrascalable data platform
Baidu reduces costs and increases efficiency while meeting data compliance requirements by replacing legacy disk storage for cold data with IBM® TS4500 Tape Libraries and IBM Storage Scale software.
 
Next steps

Accelerate AI and data-intensive workloads. Schedule a no-cost 30-minute meeting with an IBM Storage representative.

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Footnotes

**Recognized in Gartner Magic Quadrant for Primary Storage Platforms from 2019-2024
   Recognized in Gartner Magic Quadrant for Solid-State arrays from 2014-2018
   Recognized in Gartner Magic Quadrant for General Purpose Disk Arrays from 2013-2018