IBM at Red Hat Summit 2025

Browse the content from this year’s event experience

3D IBM letters in blue
Harness the power of open. Accelerate AI innovation.

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.

Sessions
Tuesday, 20 May 2025 10:30 to 11:15 AM | BCEC - Room 206B (Level 2) Building infrastructure optimized for AI: Modernizing applications across hybrid cloud

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.​

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Tuesday, 20 May 2025 4:20 to 4:40 PM | Summit Discovery Theatre 3 Expo Hall Overcoming AI limits: Accelerating innovation with open, adaptive AI

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.​

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Wednesday, 21 May 2025 1:45 to 2:25 PM | BCEC - Room 255 (Level 2) AI and IT automation: Scaling cloud and app deployments with speed

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.​

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IBM Fusion on Red Hat® OpenShift®

Leverage a fully integrated, turnkey platform for running and maintaining all on-premises Red Hat OpenShift applications.

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IBM watsonx.ai®

Experience a one-stop, integrated, end-to-end AI deployment studio.

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IBM LinuxONE

Use a scalable, cyberresilient and sustainable system optimized for Linux®.

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HashiCorp, an IBM Company

Empowering organizations to implement cloud right with a unified platform for infrastructure and security lifecycle management.

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IBM Turbonomic® for Red Hat OpenShift

Use an open source container application platform based on Kubernetes.

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