We will scale generative AI on heterogenous IT by orchestrating multi-model workflows, leveraging distributed data, and building and deploying across enterprise functions and teams with diverse environments.

We will support generative AI workloads on heterogeneous hardware in the hybrid cloud. Hybrid cloud tools will enable cost, efficiency, sustainability, regulatory compliance, and policy-based management.

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.

IBM’s hybrid cloud platform will realize the needs of local cloud deployments for the entire generative AI life cycle. Open standards and automation will enable the optimization, interoperability, and evolution of the ecosystem.

We will enable the composition and dynamic deployment of enterprise applications using combinations of AI, quantum computing, and classical computing.

The multi-cloud as a global utility will deliver computing with simplicity, seamlessly integrating multiple computing models—classical and quantum—and providers while addressing regulatory, security, and sovereignty constraints.