Red Hat Summit: Connect 2025 Virtual Event

In an era of disruption, automators are united by common challenges—and by the mission-critical role they have in solving them. This session provides an exclusive look at how Red Hat Ansible Automation Platform continues to evolve to meet the strategic needs of our customers. In this session, we’ll explore new platform features and capabilities that will help IT automation teams achieve more efficient, resilient, and connected IT operations at scale as they transform for the AI era. Explore the possibilities for streamlining infrastructure lifecycle management with Red Hat Ansible Automation Platform + HashiCorp’s Terraform and Vault. Learn how Red Hat Ansible can help you navigate the shifting virtualization landscape with agnostic management of day-2 operations across any hypervisor, from VMware to OpenShift Virtualization. Discover how you can leverage Red Hat Ansible to streamline AI infrastructure delivery, unlock AIOps, and keep AI workloads compliant at scale. Because automation teams aren’t just supporting AI - they are enabling it.

In this deep dive roadmap session, the RHEL team will unveil ambitious new features that will ignite the use of large language models, improve productivity and accessibility with new RHEL Lightspeed assistive technology features, and improve testing and deployment of the operating system as a container. Harnessing the power of post-quantum cryptography and trusted computing, you’ll be able to boldly fortify your defense against emerging security threats, ensuring that sensitive data remains impervious to the challenges posed by both current and future adversaries. Over the last 25 years, Linux has transformed from a niche operating system favored by tech enthusiasts and developers into a mainstream powerhouse with a vast ecosystem of applications, from embedded systems and supercomputers to large-scale data centers, revolutionizing how organizations approach technology with an emphasis on collaboration and innovation. This evolution has changed the demands on RHEL, and the professionals who manage it. The needs have grown increasingly complex over the years, driven by diverse use cases, security regulations, expanding hardware architectures, and innovation in the cloud. Successful deployments of RHEL have become a complex dance between a network of experts including security, performance, network, and storage. Join us to better understand how RHEL 10 helps you and your team with tough OS planning problems, beefs up security and provides the foundation for running AI workloads.

Agentic AI promises to revolutionize enterprise operations by creating autonomous systems that perceive, decide, and act to achieve goals. These intelligent agents automate complex, multi-step tasks, driving efficiency and innovation. However, enterprises often struggle with complex workflow orchestration, ensuring reliability, and efficiently scaling deployments. This session will explore how Red Hat AI provides a robust, open hybrid platform to overcome these challenges and accelerate Agentic AI innovation. We'll demonstrate how its unified API experience and out-of-the-box agent frameworks streamline complex workflow assembly and facilitate seamless integration through support for Model Communication Protocol (MCP). Discover how Red Hat AI ensures governed, trustworthy agent deployment with integrated monitoring, and delivers scalable, cost-optimized infrastructure across hybrid cloud environments, empowering organizations to capture the full potential of Agentic AI.

Join Portworx and Red Hat for an in-depth exploration of Portworx and OpenShift Virtualization in action across the manufacturing, media, and healthcare industries. Attendees will gain insights into real-world deployment patterns, key design considerations, and best practices to make their own modern virtualization journey successful. Whether you're planning your virtualization strategy or looking to enhance your current deployment, this session will provide valuable takeaways to help you build a robust and scalable infrastructure.

Cloud modernization isn’t a one-size-fits-all journey — but the Red Hat and AWS partnership delivers a consistent, scalable foundation for every stage. In this session, we’ll dive into how technical teams are deploying hybrid and cloud-native architectures using RHEL, ROSA, and Ansible Automation Platform — all natively integrated with AWS services. Explore modernization paths for legacy workloads, strategies for managing virtual machines alongside containerized and AI/ML workloads, and how automation best practices are accelerating time-to-value. Real-world customer examples and architecture patterns will guide the discussion, along with practical tips you can take back to your team.

In today’s rapidly evolving digital landscape, organizations are under pressure to modernize their infrastructure while preparing for an AI-driven future. This session explores how Microsoft and Red Hat are partnering to help enterprises securely migrate, modernize, and innovate across their IT environments — from infrastructure to applications — with a clear path to AI readiness.

Already using Red Hat OpenShift on-prem? Not yet using Red Hat OpenShift? Learn how Red Hat OpenShift on Google Cloud can deliver lower TCO leveraging Google Cloud native technologies for infrastructure cost optimization (such as custom VM shapes), and the benefits of a standards-based, hybrid application platform for Containerized, AI and VM-based workloads with Google Cloud NetApp Volumes (GCNV). Join us to: get an overview of Red Hat OpenShift on Google Cloud for Containers, VMs and AI workloads; understand how Red Hat OpenShift on Google Cloud delivers lower TCO by leveraging native technologies such as custom VM shapes; learn about resources that can help you assess and estimate the TCO reduction potential of your Red Hat OpenShift workloads on Google Cloud; understand how Red Hat OpenShift and GCNV deliver increased levels of operational efficiency by leveraging Managed Services; and understand how Google Cloud provides ability to define migration journeys optimized for your own requirements to accelerate time to value (TCO reduction), while minimizing migration effort Join us for actionable guidance on how to reduce your TCO by migrating Red Hat OpenShift workloads to Google Cloud, while future proofing your workloads with industry leading AI and a platform for VM modernization with GCNV.

Deploying large language models (LLMs) in production is challenging—models are large, latency is high, and costs can quickly spiral. In this session, we’ll explore how to make LLMs deployable using virtual large language models (vLLMs), model compression, and task tuning—without sacrificing accuracy. We’ll also introduce Red Hat AI Inference Server, the latest addition to Red Hat AI, that enables faster, more cost-efficient inference while helping reduce GPU footprint and operational complexity- simplifying the deployment and scaling of LLM inference across hybrid cloud environments.

Developer onboarding in secure, disconnected environments is often slow and inconsistent. This talk shows a single, repeatable pattern using Red Hat Ansible Automation Platform—specifically its Automation Hub content repository—to deliver a secure “day-one” developer workspace without internet access. We’ll cover how one Ansible Collection encapsulates credentials, access, and workspace setup so teams move from request to productivity in minutes. No broad architecture—just the concrete steps to make zero-day onboarding real in air-gapped enterprises. You’ll learn how to apply one Ansible Collection pattern to provision a secure, day-one developer workspace in disconnected.

For the past ten years containers have changed the game for applications. Now with image mode for RHEL, we’re taking the same benefits, technology, and ecosystem around containers and extending it to infrastructure. At last year’s Summit we announced image mode & bootc as a technology preview and with the release of 9.6 & 10, we are excited to announce the general availability and full support. In this session, attendees will get a deep dive into the technology, and walk away with a strong understanding of how to build complete, immutable RHEL systems using bootable containers, and where to use these in their environments. As a bonus, we will also look into the future to see where development is headed. Try to contain yourself because this will be *the* session you don’t want to miss!

As AI agents are increasingly deployed, a critical trust gap emerges between their powerful capabilities and the need for verifiable safety. This session will demonstrate that trustworthiness is an engineered quality of the overall system, not merely a model property. We will introduce a robust architectural pattern to bridge this trust gap: the decoupled shield. This approach externalizes all safety and validation logic from the agent's application code into a dedicated, centralized, and independently verifiable service. We will present a practical, open-source implementation of this pattern by integrating TrustyAI, an explainability and trust platform, as the dedicated shield provider for an agent built with Llama Stack. This decouples the agent's core logic from the safety logic, enhancing verifiability, reusability across multiple agents, and centralized policy management. By adopting this pattern, organizations can transition from ad-hoc safety checks to a systematic, enterprise-ready strategy for creating verifiably safe and trustworthy AI. Attendees will leave this session with a new framework for thinking about AI safety and a practical blueprint for implementing it. They will learn: A Shift in Mindset: Treat AI Safety as an Engineering Discipline, Not a Model Feature; The Decoupled Shield: A Powerful Architectural Pattern for Trustworthy AI; A Practical Blueprint Using Open-Source Tools; From Ad-Hoc to Enterprise-Ready: How to Centralize AI Governance.

AI is racing past simple chatbots toward self-directed digital teammates—systems that not only answer, but decide, orchestrate, and execute. The secret engine under the hood? vLLM, the open-source turbocharger that turns large language models into real-time performers. Join us for a fast-paced showcase where we: Reveal why vLLM has become the go-to runtime for lightning-fast, cost-savvy inference. Debut a live agentic AI that spins market data into insights and pilots applications on OpenShift—all in one seamless flow. Explore how retrieval-augmented memory, tool calling, and multi-GPU power combine to give today’s models the reflexes and reach they need to act. Expect big ideas, bigger demos, and a fresh vision of what happens when large language models stop merely talking and start doing.

Join us for a compelling fireside chat with Dru Rai, New York State's Chief Information Officer and Director of the Office of Information Technology Services (ITS). With an extensive background as a CIO for major private sector corporations and board advisory roles, Dru brings a unique, business-driven mindset to public service. This session will explore how Dru is applying private-sector principles to transform the vast and complex IT landscape of the New York State government. We'll delve into his strategies for driving efficiency, fostering a culture of innovation, and enhancing customer (citizen) experience across state agencies. Discover how New York is tackling major initiatives like AI integration, data privacy, and cybersecurity, all while ensuring the responsible and effective use of taxpayer dollars. This is a must-attend for anyone interested in the intersection of technology, business acumen, and public sector transformation.

Prior authorization (PA) is a significant challenge in healthcare, characterized by fragmented, inefficient, and manual processes that lead to delays, high costs, and physician burnout. The upcoming CMS Interoperability and Prior Authorization Final Rule (effective January 1, 2027) mandates expedited PA decisions within 72 hours and standard decisions within 7 calendar days, a substantial reduction from the current national average of 14.5 days. This talk will present Red Hat’s platform engineering approach to transform these challenges into secure, automated, and intelligent electronic Prior Authorization (ePA) services. We will showcase how Red Hat's composable, cloud-native platform, leveraging Red Hat OpenShift AI, Red Hat Integration, and Red Hat Ansible Automation Platform, unifies infrastructure, development, and operations to accelerate scalable innovation. Key solution aspects include: utilizing agentic AI frameworks and Large Language Models (LLMs) with Graph Retrieval Augmented Generation (RAG) to rapidly extract and contextualize clinical information from diverse sources, providing fast and accurate answers and reducing compute costs; Employing HL7 FHIR-compliant connectors within Red Hat Integration for real-time data exchange and regulatory transparency; implementing automation with Red Hat Ansible Automation Platform to streamline routine tasks, minimize errors, and expedite claims and documentation; and ensuring enterprise-grade security and compliance with HIPAA and CMS mandates through robust audit logging, access controls, and encryption, delivered by Red Hat OpenShift AI and Red Hat Ansible Automation Platform. Attendees will learn how this comprehensive approach can lead to over 50% reduction in PA processing times, 49% reduction in manual processing, and 40% reduction in infrastructure costs, alongside improved regulatory compliance and enhanced patient and member experiences. This transformation empowers organizations to achieve agility and avoid vendor lock-in in the evolving healthcare landscape.