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It’s no secret – the tech industry is rapidly adopting agentic software development to convert business processes into fully autonomous, agentic workflows. While the power of these tools is undeniable, the current consumption models present a challenge. Most of these solutions are delivered leveraging a model-as-a-service approach that’s poised to trigger an AI version of the cloud paradox: The agentic paradox.The paradox is simple. The fastest path to increase the velocity of your business processes is to use powerful frontier models. However, as adoption scales, this strategy becomes u

As AI compute and storage have evolved to become abstracted, multi-tenant, and automated, AI infrastructure now demands accelerated networking that delivers the same levels of automation, orchestration, and multi-tenancy across fabrics spanning NVIDIA Spectrum-X Ethernet, NVIDIA Quantum InfiniBand, NVIDIA NVLink, and NVIDIA BlueField DPUs. Yet many deployments still rely on fragmented, manually provisioned network environments that struggle to provide the scalability, operational efficiency, and workload isolation required for regulated and sovereign AI deployments. Red Hat is teaming with Net

For teams running virtualization estates of any size today, three pressures are converging at once. Hardware budgets that looked generous in late 2024 have been blindsided by memory costs, turning routine refreshes into financial hurdles. Licensing models have moved in directions most renewal cycles weren't built to absorb. And in many organizations, leadership has moved from "how do we plan the next infrastructure refresh," to "how can we get more out of the infrastructure already in place?" These pressures are not unique to virtualization, but virtualization is where they all show up at once

At Red Hat, we’ve always known that "open" is a team sport. While our technology provides the foundation, our partners act as the ultimate force multipliers—building, integrating, and delivering the solutions that solve the world’s most complex business challenges. Today, we are thrilled to celebrate that spirit of collaboration by announcing the winners of the 2026 Red Hat Ecosystem Innovation Awards. These awards recognize partners who have demonstrated exceptional ingenuity using Red Hat’s open source portfolio to drive measurable, transformative results for our joint customers. Fro

Each year during Red Hat Summit, we recognize Red Hat Certified Professionals who make a difference in their organizations by demonstrating enthusiasm, commitment and dedication to their role and industry. We’re proud to announce that Firas Benbelgacem, Telco Cloud CaaS Engineer at Orange, has been named the 2026 Red Hat Certified Professional of the Year.Firas has worked diligently to earn a variety of Red Hat Certifications, including up to Red Hat Certified Architect in both Enterprise Linux and OpenShift. Earning these certifications highlights Firas’s commitment to open source technol

We're excited to share what's coming for Red Hat OpenShift Service on AWS (ROSA) at Red Hat Summit 2026. Sessions will cover everything from virtual machine (VM) modernization and AI workload scaling to cost optimization and developer velocity.If you're new to the service, ROSA is a fully managed OpenShift platform, jointly engineered and supported by Red Hat and Amazon Web Services (AWS). It's a service that lets you build, deploy, and manage containerized, virtualized, and AI-enabled applications, providing the user with a consistent hybrid cloud experience while Red Hat and AWS handle the u

Red Hat OpenShift Virtualization, a native feature included with Red Hat OpenShift, lets you migrate your virtual machine (VM) workloads from your legacy virtualization platform to a modern, consistent, and comprehensive hybrid cloud application platform. OpenShift Virtualization is based on KubeVirt, an upstream open source project that delivers container-native virtualization by using a kernel-based virtual machine (KVM) within a Kubernetes container.OpenShift Virtualization helps you transform and consolidate your on-prem, cloud, and virtualization platforms into a modern and unified tech

SiliconANGLE theCUBE- Red Hat 2026 Summit PreviewtheCUBE's Rob Strechay sits down with Ashesh Badani, CPO of Red Hat, to explore how enterprises are turning AI ambition into operational reality. Badani outlines Red Hat’s platform vision, covering inference optimization, token economics and the rise of hybrid, multicloud agentic workloads running at scale. Learn more Announcing the winners of the 20th annual Red Hat Innovation AwardsFor two decades, the Red Hat Innovation Awards have celebrated the groundbreaking technological achievements of our customers worldwide. These organizations dem

As enterprises scale their digital operations migrating to modern, cloud-native application platforms, security teams are consistently confronted with significant challenges. The dynamic and distributed nature of these environments makes traditional, perimeter-focused security tools and methodologies inadequate. Security for a modern hybrid cloud environment requires granular visibility, context-aware protection, and unified management across continuous integration/continuous deployment (CI/CD) pipelines to live production runtimes. This fundamental shift toward using containers, virtual machi

As Ansible adoption grows, a challenge can arise: How do organizations track automation efforts across the entire enterprise? A common solution is to establish a Center of Excellence (CoE) for Ansible, helping organizations move from isolated automation efforts to a scalable, coordinated enterprise strategy. What is a Center of Excellence for Ansible?A CoE for Ansible is a group responsible for setting automation standards and promoting Ansible’s collaborative open source nature. The CoE acts as an enablement and governance body, allowing for more effective automation across the organization

If you're starting to rethink how you run virtualization workloads at your organization, you're not alone. Rising licensing costs, the pressure to apply AI, and a need to integrate services are inspiring organizations to look at new virtualization options.Here are five different organizations across a variety of industries including telecommunications, defense, and education, that are using Red Hat OpenShift Virtualization to turn disruption into a strategic advantage.To hear more stories like this, check out the OpenShift Virtualization sessions taking place at Red Hat Summit 2026 in a few we

There’s a growing narrative in the platform engineering community that internal developer portals (IDPs) are "dead." That AI models are so good now, developers don’t need a portal to find things, scaffold projects, or understand their environment. That agents like Cursor, Claude, and GitHub Copilot have made the "alt-tab to a portal" workflow obsolete.I get the appeal of that argument. It’s clean, it’s provocative, and it contains a kernel of truth. But it also misses something fundamental about why developer portals exist in the first place—and why the agentic era makes them more im

There's a lot of pressure on many of us to use more AI to facilitate our jobs. This may sound familiar to you:"Where’s the AI?" the boss asks, somewhere between desperate and annoyed."Upgrades are deterministic! You can't use something that works MOST of the time!" the IT team replies. The boss replies, “But Alice built a new app environment in 2 hours with Claude Code! You've got servers that have been on my non-compliance list for 2 years." The boss has a point, but the fact is that upgrades don't lend themselves to "Just let the AI do it."So the IT folks (and the application owners) ten

Next week, thousands of IT leaders will gather in Atlanta for Red Hat Summit. The agenda covers everything from AI to digital sovereignty, but in the customer conversations I have continued to have over the past 24 months, a different topic keeps coming up: whether the virtualization platform they've been running for years and depend on is still the right foundation for their workloads today, and whether it sets them up for what's coming next. Most of them are already evaluating alternatives.For a long time, virtualization was a "set it and forget it" part of the stack. That isn't the case any

A financial services firm is deploying an AI assistant to help underwriters review policies, analyze risk documents, and answer compliance questions. The model is grounded in the firm’s own document collection, drawing answers directly from underwriting manuals, regulatory filings, and internal procedures. The business case is solid.Then the security review starts:Can a crafted prompt trick the model into ignoring its system instructions and exposing confidential data?What happens when a response surfaces personally identifiable information (PII) that's embedded in the retrieved documents?Is

Technology is only as effective as the trust behind it. While AI and automation now provide the baseline for speed and responsiveness in customer support, they cannot replace the singular need for human connection. At Red Hat, we believe the most effective enterprise support happens when powerful software is backed by people who actually listen.This is why Red Hat Support and Customer Experience is adopting the H.E.A.R.T. mindset. We are putting human connections at the center of how we collaborate with our customers, using a framework built on five pillars:Hear:Actively listening to customers

Many platform failures at scale often stem from overlooked control plane dependencies. Among them, the container registry is one of the most critical.In the early stages of Kubernetes and Red Hat OpenShift adoption, the registry is treated as a supporting component, a place to store and retrieve images. That assumption quietly breaks as a platform scales across environments, supports production workloads, and introduces disaster recovery requirements. At scale, the container registry becomes part of the platform control plane, not its artifact store: Thus is the very nature of the “infrastru

Mozilla recently published a fascinating piece titled "The zero-days are numbered," focusing on their collaboration with Anthropic to use AI models to find vulnerabilities in Firefox. The results Mozilla reports are staggering: 22 security-sensitive bugs found in one release cycle, followed by 271 vulnerabilities identified in a subsequent pass. These aren't trivial issues and they weren't theoretical; they were real defects, the kind that elite human researchers spend careers finding. But a machine found them in a fraction of the time.This is one of those moments where the ground shifts under

As organizations embrace agentic AI for cluster operations, the central challenge shifts from whether or not AI can control a cluster to whether it can do it safely and with accountability. How do large language models (LLMs) provide meaningful context and operational capability within our clusters without compromising security or relying on brittle, script-based wrappers?To address this challenge, Red Hat has introduced the Model Context Protocol (MCP) server for Red Hat OpenShift, available as a technology preview. MCP refers to an open source standard for connecting AI applications to exter

Humanoid robots are having a moment. Every major tech conference features new demos—robots walking, grasping, responding to voice commands, and navigating crowded spaces. The hardware is impressive and the AI is advancing rapidly, but what happens after the demo?The answer to this matters because humanoid robots are not just AI systems, they are meant to be long-lived, safety-critical machines that operate continuously in human environments. Unfortunately, the gap between a compelling demonstration and a reliable production deployment is where many robotics programs stall.Red Hat and Intel a