Overview
IBM Fusion is a cutting-edge solution to accelerate and modernize hybrid cloud infrastructure for Red Hat OpenShift. Fusion is a self-service platform for application owners who want to reduce time to value. Fusion streamlines deployment processes and simplifies the ongoing management of containers and virtual machines, enhancing operational efficiency. IBM Fusion accelerates time to value and access to data for businesses looking to harness the power of watsonx and generative AI (Artificial Intelligence). By safeguarding critical AI and business applications along with their data, IBM Fusion provides a secure environment for innovation.
Highlights
- Reduce total cost of ownership - Simplifies infrastructure and data services for OpenShift applications by enabling platform engineers to centrally manage OpenShift, streamline operations, optimize resource utilization and reduce operational complexities and costs.
- Accelerate time to value - Integrates hardware, Red Hat OpenShift and data services, eliminating compatibility issues and reducing setup time enabling you to get your containerized applications up and running in record time enabling faster innovation and reduced time-to-market.
- Improve productivity - Enhances productivity by simplifying infrastructure management for platform engineers, empowering developers to focus on coding and innovation and promoting collaboration between both groups through a standardized, streamlined environment.
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Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
IBM Fusion Advanced | Entitlement for IBM Fusion Advanced VPCs | $449.00 |
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Refunds only available through agreement of IBM
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Customer reviews
Production-ready hybrid storage for OpenShift workloads — saved us months of integration work
In our latest enterprise deployment for an Italian aerospace and defense customer (multi-cluster production environment), three things made a real difference. First, the HLD/LLD design phase went surprisingly fast because the architectural patterns are well documented and the IBM TechZone reference architectures are reusable end-to-end. Second, cluster setup was clean — once the prerequisites on OCP side are in place, Fusion deploys via operators without surprises and is reproducible across DC sites. Third, the data resilience features (snapshots, immutable backups, replication policies) are first-class citizens, not bolt-ons.
On top of that, the integration with the broader IBM Storage portfolio (FlashSystem, Spectrum Virtualize, Storage Insights Pro) is genuine: telemetry flows natively into a single console for our customer's SOC, and policy-based data management works across both block and container workloads. For partners doing managed services, this consolidation is the killer feature — it reduces the number of moving parts your team needs to keep instrumented and observed.
Second, the licensing model around premium data services (advanced DR orchestration, multi-cluster backup retention) requires careful pre-sales sizing — it's not always intuitive to the customer procurement team how feature tiers map to use cases. We've found ourselves rebuilding sizing assumptions a couple of times in pre-sales conversations. A cleaner edition matrix would help.
Neither of these is a deal-breaker — the technology delivers — but they're the friction points we'd flag to other partners and customers planning a deployment.
IBM Storage Fusion solves both. The single control plane means the customer's storage team operates one system instead of three; the data resilience policies are configured once and apply across container and non-container workloads alike. From our partner perspective, this collapses the integration effort: we design the HLD once, deploy via operators, and don't spend weeks gluing together separate backup, DR and snapshot products.
Concrete benefit: the design and rollout of the production cluster — including HLD/LLD signed by the customer, multi-site cluster setup, and the start of the migration plan — landed within the agreed professional services scope, with predictable effort. That's the kind of delivery story that matters more than feature checklists when the customer's audit team and CIO are watching the timeline.