Building the right data pipeline is crucial to AI success

AI workloads involving machine learning and deep learning have unique infrastructure requirements. So how can you craft the right architecture for your AI data storage?

Proven AI leadership

The two most powerful computers on the planet - Summit and Sierra – are purpose built for AI, and both depend on IBM Storage.

Spectrum Storage for AI featuring IBM Spectrum Scale provides the solid foundation and shared data service on which to build efficient, scalable data pipelines for AI and big data. Now it's easier than ever to deploy Spectrum Scale for AI and big data workloads and machine and deep learning.

Meet the new ESS 3000

The new IBM Elastic Storage System 3000 is the simplest way to deploy Spectrum Scale— the same world-class software-defined storage that powers Summit and Sierra, enabling you to have a slice of supercomputer storage for your own AI and big data workloads.

IBM Spectrum Storage for AI with Power Systems™

A fully optimized, scalable and supported AI platform that delivers blazing fast performance, proven dependability, and resiliency.

Spectrum Storage for AI with Power System AC922 enables the cutting-edge AI innovation that data scientists desire, with the dependability that IT requires. This is IT infrastructure designed for enterprise AI.

IBM Spectrum Storage for AI with NVIDIA DGX Systems

The performance you need for data science workloads. Integrating NVIDIA DGX Systems and IBM Spectrum Scale software-defined storage, Spectrum Storage for AI with NVIDIA DGX Systems delivers scalable throughput to support groundbreaking performance, more GPU-accelerated servers in a single rack,  and extended data management that drives developer productivity.


Key components of AI

Meet the new IBM Elastic Storage System 3000 (ESS 3000)

The new ESS 3000 is the simplest way to deploy the same world-class storage that powers the world’s most powerful supercomputers. Get a slice of supercomputer storage for your own AI and big data workloads, as well as your machine learning and deep learning. Leverage the performance of AI on the edge and create a single namespace from edge to data center to cloud.

IBM Storage for AI big data object storage repository

Object storage is becoming the choice for the big data repositories required by AI workloads, thanks to its high durability and easy-to-manage large data capabilities. Using a patented distributed parallel architecture, protected data is accessible concurrently from any location from the data center, the edge or even in the cloud.

Software that optimizes your AI storage

IBM Spectrum Scale

Meets the challenges of AI storage and big data workloads by unifying data at scale, with a single global data namespace and the distinctive ability to perform analytics in place.

IBM Cloud Object Storage

Provides AI storage that can be geographically dispersed and supports global ingest, transient storage and cloud archive of data, with an easily managed and accessed big data repository.

What the experts are saying about storage for AI infrastructure

Enterprise IT is demanding targeted solutions for AI and machine learning. There is no vendor more in touch with the needs of enterprise computing that IBM.

Steven McDowell, Forbes, “IBM Spectrum for AI Brings Scalable Storage to Deep Learning”

Ready to build your data pipeline with storage for AI?

Our experts are here to assist you with a variety of value-added services to help you strategize, design, deploy and support your IBM Storage for AI infrastructure.

Resources

Top 10 trends

Gartner has identified the top data and analytics trends that have the potential to disrupt the tech space significantly throughout the next three to five years.

End-to-end optimization

Accelerate your data pipeline — from ingest through inference — and reduce time to accuracy and insights.

IBM Storage solutions for autonomous driving

Build your end-to-end data pipeline thanks to IBM Storage delivering extreme scalability with high performance for advanced driver assistance systems and autonomous driving.

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