Storage for AI

High-performance file and object storage for AI, ML, analytics and NVIDIA workloads.

 

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Unlock the value of data with AI storage

Many organizations are modernizing ai data storage to unlock value from AI, ML, and analytics, but face challenges such as distributed data, longer training cycles, and GPU constraints. To overcome this, enterprises adopt data storage solutions for ai and scalable ai storage solutions designed for performance and flexibility.

IBM Storage delivers high-performance, low-latency artificial intelligence storage with minimal downtime. Its unified ai workloads storage architecture integrates file, block, and object services, simplifying management and accelerating insights. With database solutions for large-scale ai workloads, organizations can efficiently process data, optimize GPU use, and achieve faster time to value.

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Solve your data challenges

Realize faster time to value for data and digital transformation with a unified storage solution that consolidates file, block and object data services.

Retrieve data faster

Leverage AI-driven autonomous storage with NVMe performance to deliver data at scale with high throughput, low latency and always-on availability—ensuring fast, intelligent access through deep AI integration.

Reduce silos

Consolidate data and workloads across environments with a scalable solution optimized for hyperconverged infrastructure (HCI)—spanning edge, on-premises and cloud while enabling seamless AI integration.

Improve collaboration

Enable smarter collaboration with content-aware storage that intelligently manages and shares data and workloads—ensuring the right users have access at the right time while improving efficiency and utilization.

Simplify operations

Streamline IT with centralized data and application services on a single, scalable, AI-driven autonomous storage platform that integrates easily with existing environments and modern architectures like HCI.

Optimize costs

Minimize data sprawl with a flexible, scalable storage solution that uses AI integration to optimize performance and capacity—supporting growth without overprovisioning.

Reduce risk

Strengthen security posture with built-in data resiliency and disaster recovery and advanced ransomware protection, ensuring rapid recovery and continuous business operations.

Related products

IBM Fusion

IBM Fusion delivers an integrated platform that enables organizations to rapidly deploy open, AI-optimized infrastructure.

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IBM FlashSystem

IBM FlashSystem® transforms passive storage into AI‑driven storage, streamlining IT and data modernization with high capacity, next‑gen FlashCore, and built‑in intelligence.

Explore IBM FlashSystem
IBM Storage Scale

Leverage a scale-out file and object, software-defined storage solution 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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NVIDIA Storage Solutions

Turbocharge AI performance and NVIDIA GPU access with faster global data. Validated for DGX BasePOD/SuperPOD, IBM and NVIDIA enable rapid deployment.

Explore NVIDIA Storage Solutions
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.

Explore IBM Storage Ceph

Content-Aware IBM Storage Scale

Unlock your enterprise data’s value.

Very little enterprise data is used to train the large language models behind chatbots and AI assistants, limiting their business value. IBM Storage Scale addresses this gap with advanced content-aware storage and seamless AI integration, extracting the semantic meaning embedded in unstructured data to enable AI assistants to generate smarter, more relevant responses. Built on a scalable architecture, it ensures data is efficiently organized and readily available for AI-driven use cases.

Case Studies

Business challenge

For most of us, driving is second nature; a series of automatic decisions. To train AI for autonomous driving—to make those same decisions even a 10th of a second faster, and potentially make driving safer—requires petabytes of data.

Results

Improved training efficiency.
Continental improved AI training time 70% using IBM Storage Scale and NVIDIA DGX systems.
Enhance capability.
Continental has the ability to run at least 14x more deep learning experiments per month at the same time.

Resources

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IBM has been named a Leader in the 2025 Gartner Magic Quadrant for Enterprise Storage solutions.**
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Accelerating AI with IBM Storage Scale and NVIDIA.
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AI infrastructure that endures. Three essentials to engineer for speed, scale, and trust.
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Beyond RFPs and chatbots: How AI is optimizing IT infrastructure and operations.
 
Next steps

Accelerate AI and data-intensive workloads. Schedule a meeting with an IBM Storage representative.

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