IBM Hybrid Cloud Roadmap
Composable applications, services, and infrastructure enable enterprises to create a dynamic and trusted virtual computing environment across multiple clouds, with simplicity for development and operations.
Hybrid Cloud
Roadmap
Strategic milestones
All information being released represents IBM’s current intent, is subject to change or withdrawal, and represents only goals and objectives.
You can learn more about the progress of individual items by downloading the PDF in the top right corner.
2026
Accelerate generative AI to production using the hybrid cloud platform.
We will tighten the convergence of our hybrid cloud platform with AI runtimes to enable the optimized execution of new generative AI application patterns and life-cycle processes.
Why this matters for our clients and the world
The increased platform optimization towards generative AI application patterns and life-cycle requirements will reduce risk and increase the speed of innovation. The improved scaling and cost efficiency of the platform will improve the ROI.
The technologies and innovations that will make this possible
We will treat the AI model as a first-class citizen and make model abstractions, runtimes, and distributed management and optimization inherent in our hybrid cloud stack. The evolution of network and interconnect standards will drive increased support for multiple hardware options and improve cost. We will create new life-cycle tools to provide visibility and insights into the supply chain of generative AI applications.
How these advancements will be delivered to IBM clients and partners
OpenShift AI will include control planes specialized as building blocks of the full generative AI life cycle. The Red Hat Developer Hub will include templates of common generative AI application patterns with optimized building blocks. We will deliver the hybrid cloud stack for AI across multiple clouds and all infrastructure types, content-aware storage, and edge, with holistic infrastructure management using Terraform.