Overview

Building the right information architecture (AI) is crucial to AI success.

AI workloads and data pipelines have unique infrastructure requirements that require careful consideration when developing an architecture to support your
needs and grow with your business.

Continental Auto Group: Infrastructure optimized for autonomous driving

Developing autonomous driving solutions with faster, more flexible data storage and simplified management for AI.

Modernize:

Build an IT architecture for AI with flexibility across the organization.

Enterprise data services for container environments

Simplify the deployment of IBM Cloud Paks® with software-defined storage solutions from IBM Storage and Red Hat® OpenShift® delivering flexibility for AI workloads.

Easy deployment and native high-performance access to data

Red Hat® OpenShift® Container Storage (OCS) now supports IBM Spectrum® Discover for governance and AI integration to IBM Watson® solutions.

Native container access support

Cluster storage with one to many IBM Spectrum Scale nodes for fast and easy deployment and optimized for performance.

Collect:

AI storage solutions that make data simple and accessible for a hybrid cloud infrastructure.

Highly scalable storage for AI and big data

The Elastic Storage® System 5000 (ESS 5000) is the new-generation platform for data lakes with speed, market leading performance, density and scalability.

Storage for AI object storage repository

Object storage is the choice for online scalable repositories required by many AI workloads, thanks to its high durability and easy-to-manage large data capabilities.

Storage for AI file and object storage repository

Meet the challenges of AI storage with high performance and scalability from edge to core to cloud now with container-native storage access for Red Hat OpenShift.

Organize:

Catalog data with policy engine.

Catalog and index in real time

Automate cataloging/indexing and ensure real-time data updates are integrated and current with IBM Spectrum® Discover. Enable comprehensive insight, data governance, and optimization, now integrated with IBM Watson® Knowledge Catalog.

Integrate enterprise file and object data

Create smarter data by integrating enterprise file and object data from IBM Spectrum® Discover with one-click integration to IBM Watson® Knowledge Catalog. Combine analysis and insights with other vital enterprise data.

Analyze:

Big data solutions that provide a simple and integrated AI infrastructure.

IBM Storage for Data and AI with Power Systems

Deliver blazing fast performance, proven dependability and resiliency in a fully optimized, scalable and supported AI platform. IBM Storage for Data and AI with Power systems is IT infrastructure designed for enterprise AI.

IBM Storage for Data and AI with NVIDIA DGX Systems

Get the scalable throughput you need to support performance and data science workloads with NVIDIA DGX Systems; more GPU-accelerated servers in a single rack; and extended data management that drives developer productivity.

Simplified deployment with the Elastic Storage® System 3000

The Elastic Storage® System 3000 (ESS 3000) is the simplest way to deploy world-class storage designed to meet the challenge of managing data for analytics.

IBM has been recognized as a Leader 5 years in a row

We’re thrilled to announce that IBM has been positioned as a leader in the 2020 Gartner Magic Quadrant for Distributed File Systems and Object Storage.

Related Data and AI solutions

IBM Cloud Object Storage for Splunk®

Optimize an existing Splunk deployment using IBM Cloud Object Storage for Splunk® (SmartStore), with a new architecture that can lower cost.

IBM Spectrum Scale with Cloudera

Combines the extreme parallel performance with NVMe access, enterprise data services with integrated data lifecycle management, and massively scalable storage with the integrated support for Hadoop analytics.

Cost-effective AI storage with scalable archives

Enable lowest-cost AI storage with direct file access to data stored on tape with IBM Spectrum® Archive for cost-effective and highly scalable active archives.

Accelerate analytics and application development

Give users access to production data without impacting priority workloads or compromising data security and privacy with IBM Virtual Data Pipeline.

Next Steps