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 AI?

 

"The success of ML and AI initiatives relies on orchestrating effective data pipelines that provision the high quality of data in the right formats in a timely manner during the different stages of the AI pipeline."

- Gartner

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.
 

AI demands the most from storage infrastructure. 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.

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.


Resources to help optimize your AI storage

IBM Spectrum Scale

Meets the challenges of AI 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 geographically dispersed object repositories that support global ingest, transient storage and cloud archive of object data.

IBM Spectrum Discover

Automatically indexes and helps manage metadata and operationalizes data preparation tasks to speed classification and curation of data.

IBM Spectrum Archive

Enables direct file access to data stored on tape for cost-effective and highly scalable active archives.

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”

Let the experts help you build your data pipeline with storage for AI

The IBM team offers a variety of value-added services to help you strategize, design, deploy and support your IBM Storage for AI infrastructure. Join our webinar and get your questions answered.

More IBM AI infrastructure resources

End-to-end optimization

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

Industry-leading innovation

Continual innovation from IBM Storage gets you quicker insights with industry-leading performance and hybrid/multicloud support that spans public clouds, private cloud, and the latest in containers.

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.