Browse the content from this year’s event experience
At Red Hat Summit 2025, we demonstrated how IBM is uniquely positioned to deliver AI innovation with a hybrid cloud approach that gives Red Hat clients the flexibility and agility they require.
During this year’s conference, through our booth and speaking sessions presence, we focused on four core themes:
- Boost DevOps with accelerated IT automation
- Operationalize AI with optimized infrastructure
- Enhance AI for trust performance and value
- Scale AI with an intentional hybrid cloud
Leading businesses are getting better AI outcomes from open technologies and services with IBM and Red Hat.
AI models rarely operate in isolation—they span public cloud, on-prem and edge compute environments, creating challenges in workload mobility, security and data control. Fragmented infrastructures slow down AI pipelines, introduce silos and increase the complexity of scaling AI models across environments.
This session focused on building an intentionally-designed hybrid cloud infrastructure that adapts to dynamic workloads. The participants learned how to:
- Support AI model training and deployment with highly secure, high-performance computing;
- Make application modernization simpler across hybrid cloud environments
- Deploy storage solutions that enhance AI workloads with flash-optimized architecture and intelligent data placement.
The result is a unified AI infrastructure that scales horizontally and vertically, running AI models where the data is.
Rigid infrastructure and fragmented pipelines often constrain AI innovation. As AI models grow more complex, training, deployment and orchestration processes become disjointed, slowing the entire lifecycle. An open AI ecosystem can remove these bottlenecks and speed model-to-production workflows.
In this session, we shared technical demonstrations of how to unite isolated AI into flexible, cross-environment pipelines that simplify model training, tuning and deployment across cloud and on-premises environments. The attendees learned how an adaptive AI platform breaks down barriers to foster innovation and achieve efficiency and security at scale.
AI adoption often stalls, not because of AI itself, but because of IT bottlenecks. Cloud provisioning is slow, app deployments are complex and manual workflows create a reactive environment. As AI models evolve, these outdated processes can’t keep up, delaying innovation and making AI scaling a cumbersome task.
This session explored how AI can enhance automation to transform IT operations into self-optimizing systems. Demos highlighted the latest integrations with Red Hat solutions that create dynamic resource allocation, automated workflows and intelligent monitoring, empowering customers to build an IT environment ready for AI innovation.
Accelerate playbook creation in the Ansible Automation Platform with generative AI-powered content recommendations.
Leverage a fully integrated, turnkey platform for running and maintaining all on-premises Red Hat OpenShift applications.
Experience a one-stop, integrated, end-to-end AI deployment studio.
Use a scalable, cyberresilient and sustainable system optimized for Linux®.
Empowering organizations to implement cloud right with a unified platform for infrastructure and security lifecycle management.
Use an open source container application platform based on Kubernetes.
Port de Barcelona modernizes and transforms IT infrastructure with IBM LinuxONE.
Delta Air Lines transforms employee engagement, productivity and speed to market with IBM and Amazon Web Services, Inc. (AWS).
Ensono delivers world-class managed services by streamlining IT automation with IBM and Red Hat.