Storage Talks: High Performance Storage in Action

Modernizing your data lakes and accelerating your AI workflows

2nd September 2021, 15:00 CET

Modernize:

IT architecture that delivers flexibility and eases deployment of cloud native applications for hybrid cloud.

Enterprise container-native storage solutions for OpenShift

IBM Spectrum Fusion* is a container-native storage solution for customers who need global hybrid cloud data access and enterprise storage services that meet the strict requirements for mission critical data. This solution will provide a streamlined way to discover, secure, protect and manage data from the edge to the core data center to the public cloud.

Native container access support

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

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.

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.

Analyze:

Big data solutions that provide high performance and an 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.

Next-gen storage built for high-performance AI and hybrid cloud

The IBM Elastic Storage® System 3200 (ESS 3200) is designed to meet and beat the challenges you face 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.

Resources

COS simplifies insurance claims

What if there was a faster, easier and safer way insurance company adjusters could access damage and accelerate time to recovery?

Storage solutions for the edge

Gain some practical solutions and view the requirements for leveraging the performance of AI from edge to data center to cloud.

The future of business with AI

AI has moved from science fiction to business fact. Meet Graham and Marcelo, two innovators who are passionate about AI and its potential for empowering progress.

AI enterprise servers

IBM Power Systems for AI can help enterprises realize the full potential of AI and analytics to achieve stronger data-driven decisions, access deeper insights, and develop trust and confidence.

Next Steps

Disclaimer

*Statements by IBM regarding its plans, directions, and intent are subject to change or withdrawal without notice at the sole discretion of IBM. Information regarding potential future products is intended to outline general product direction and should not be relied on in making a purchasing decision. The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code, or functionality. Information about potential future products may not be incorporated into any contract. The development, release, and timing of any future features or functionality described for IBM products remain at the sole discretion of IBM.