Fusion services
IBM Fusion Service provides scalable, integrated storage and data management solutions optimized for hybrid cloud and AI workloads on Red Hat® OpenShift®.
Global Data Platform service
The Global Data Platform (GDP) in IBM Fusion is a unified data management solution that simplifies access, sharing, and management of data across diverse environments. It offers scalable storage optimized for hybrid cloud and AI workloads, ensuring seamless data availability and mobility across multiple locations. It is a software-defined file and object storage that enables organizations to build a global data platform for artificial intelligence (AI), high-performance computing (HPC), advanced analytics, and other demanding workloads.
- File storage
- High availability via capacity-efficient erasure coding
- Metro and regional disaster recovery
- CSI snapshot support with built-in application consistency
- Encryption at rest
- Ability to mount file systems hosted by remote IBM Storage Scale clusters.
Fusion Data Foundation
- Block, file, and object storage
- High availability through automatic data replication
- Metro and regional disaster recovery
- CSI snapshot support
- Encryption at rest
The provider deployment mode is supported. In this mode, you run a storage cluster locally that can serve multiple mode clusters. The provider mode is similar to an external Fusion Data Foundation configuration. It acts as the provider and base storage on the host cluster. You can provision new clusters within a managed rack and consume storage from the central provider cluster.
Backup & Restore
- Policy-driven backup of applications that run on Red Hat OpenShift
- Change block detection for Ceph RBD block volumes. It greatly reduces backup times for applications using block mode volumes, including OpenShift Virtualization VMs based on RBD block volumes.
- Orchestration of application consistent online backups through recipes
- Multi-cluster Backup & Restore by using a hub and spoke topology
IBM Data Cataloging
The IBM Data Cataloging provides data insight for exabyte-scale heterogeneous file, object, backup, and archive storage on premises and in the cloud. The software easily connects to these data sources to rapidly ingest, consolidate, and index metadata for billions of files and objects. For more information about the IBM Data Cataloging service and its architecture, see Data Cataloging.
Content-Aware Storage (CAS)
It leverages natural language processing (NLP) and AI technologies to extract semantic meaning from unstructured data, such as text, charts, graphs, and images. It allows for more efficient data retrieval and integration with AI workflows, particularly in retrieval-augmented generation (RAG) processes. For more information about the CAS service, see Content-Aware Storage (CAS).