Red Hat News

Earlier this month at Red Hat OpenShift Commons in Amsterdam, co-located with KubeCon + CloudNativeConEU, we celebrated a few Red Hat OpenShift Superheroes. While each member of the Red Hat OpenShift community is a hero for helping contribute to a project’s success and growth, some members really stand out. They are the advocates and champions who make the community strong and successful. From left: Xuan-Son Nguyen - BNP Paribas, Jan-Willem - ING Bank.Red Hat OpenShift Superheroes are:Builders: Contributing to the evolution of Red Hat OpenShiftAdvocates: Amplifying their Red Hat OpenShift ex

That GPU you're running? You're most likely not using it to the fullest. You’ve deployed your large language model (LLM). It’s working, but many production deployments waste significant GPU capacity through suboptimal configurations. Your hardware spends time idle, waiting for data to move, or re-computing work it already did.The obvious fix? Switch to a smalle

Does your private cloud feel like a free-for-all buffet? You know it's providing value, but when the bill comes due, it’s nearly impossible to tell who’s eating what.In today's dynamic cloud environments, it’s increasingly important to be able to properly attribute costs to internal users, especially for enterprises running their own cloud infrastructure. You need to establish accountability in order to distribute costs fairly among departments or encourage teams to right-size their workloads—and gaining visibility is the first step.With feature release 5 (FR5) of Red Hat OpenStack Ser

Are you ready to accelerate your business and dive into the future of open innovation? We certainly are! Red Hat Summit 2026 is coming quickly and we can’t wait to see you all in Atlanta, Georgia, from May 11-14, especially as we have something extra special lined up just for our partner community.If you’re a Red Hat partner, you don't just get a seat at the table—you get an entire event dedicated to you on Monday, May 11. Ecosystem Success Day at Red Hat Summit is a high-impact experience designed exclusively to help Red Hat partners connect with other industry leaders, expand business

Red Hat OpenShift Pipelines 1.21 is now available, improving pipeline performance, security capabilities, and troubleshooting for Kubernetes-native continuous integration and delivery (CI/CD) on Red Hat OpenShift. This release introduces AI-assisted troubleshooting via Red Hat OpenShift Lightspeed and moves Tekton Cache to general availability. It also features several updates designed to enhance pipeline speed, reliability, and ease of use.This blog post will explore several key highlights of OpenShift Pipelines 1.21. AI-assisted pipeline troubleshooting with Red Hat OpenShift LightspeedOpenS

Legacy infrastructure is the primary barrier to AI strategy. Current systems simply weren't built for these workloads. Platforms lack native AI support, leaving expensive GPUs underutilized at rates as low as 30%. While teams often customize models, the accuracy of those models tends to drop. In some situations, slow provisioning times force data scientists to build their own shadow environments—unauthorized tools and systems that IT and security teams don't know about. It's clear that AI success requires a platform that helps simplify workload management and boost productivity.To quantify t

The only thing harder than finding a critical Common Vulnerabilities and Exposures (CVE) is fixing it across your entire infrastructure. Red Hat Lightspeed simplifies this challenge by enabling you to address advisor recommendations, content advisories, vulnerability CVEs, and failed compliance rules on your connected Red Hat Enterprise Linux (RHEL) systems using Ansible Playbooks—saving up to 86% of manual remediation time.We heard your requests for a faster, clearer workflow and have overhauled the experience to be simple yet operationally robust. Here is your crash course on the new, stre

Red Hat is excited to announce the release of Red Hat OpenShift sandboxed containers 1.12 and Red Hat build of Trustee 1.1, marking a major leap forward in our confidential computing journey. These releases graduate confidential containers on bare metal from Technology Preview to General Availability (GA), delivering production-ready, hardware-based memory encryption and attestation for on-premise and hybrid cloud infrastructure, We are also introducing Technology Preview support for confidential containers with NVIDIA Confidential Computing, paving the way for digital sovereignty, hardened en

In the world of hybrid cloud infrastructure, data is our most valuable currency. But for data to be valid and valuable, it must be taken in context. Recently, VMware published a blog post claiming that, based on a study conducted by Principled Technologies, VMware Cloud Foundation (VCF) 9.0 with vSphere Kubernetes Service (VKS) delivers a "5.6x pod density" advantage over Red Hat OpenShift.At first glance, the number is striking. As any systems architect knows, however, the validity of a benchmark lies not in the result, but in the methodology. When we look under the hood of this study, we fin

Don't forget to register for Red Hat SummitRegistration is now open for Red Hat Summit 2026 in Atlanta! Register by February 23 for the lowest rates, or save further with group discounts for three or more attendees from your organization. Secure your spot now for the best value. Learn more Red Hat AI tops MLPerf Inference v6.0 with vLLM on Qwen3-VL, Whisper, and GPT-OSS-120BEnterprises use MLPerf to evaluate AI workload performance by comparing hardware and software stacks in a standardized environment. These results illustrate Red Hat's ability to match or outperform other inference engines

In a previous article, we focused on the capability that turns large language models (LLMs) from general-purpose tools into instruments of research through domain-specific customization. Fine-tuned models are how research teams encode domain expertise, institutional research, and reasoning patterns into systems that can help accelerate discovery rather than simply assist it.But customized models are only one half of the equation. For those models to become useful at institutional scale, they need a platform that can be used to train, serve, govern access to, and integrate them into the broader

The release of Red Hat Ansible Automation Platform 2.6 marks a pivotal milestone. Before you begin your upgrade, there are 3 key things you need to know to make your transition smoother:This is the last version with an RPM-based installer. Red Hat Ansible Automation Platform 2.6 using the RPM method is only available for Red Hat Enterprise Linux (RHEL) 9, and the RPM installer will be retired after this release. Ansible Automation Platform 2.7 will only support a containerized install method, the Red Hat OpenShift operator, or our cloud services, so now is the time to begin the transition.Ansi

This year, Red Hat Summit 2026 is headed to Atlanta for an experience that’s more hands-on and interactive than ever! Whether you’re a long-time attendee or joining us for the first time, this year’s event promises new ways to move from “what if” to “what’s next.” We’ve designed 2026’s program to help every attendee—from IT leaders to hands-on practitioners—sharpen their skills and bring open source innovation to life.Explore the expo hall The expo hall is your hub for 1-on-1 access to the experts building the future of IT. This year, we’re introducing lightning labs:

The preview release of Claude Mythos presents a massive challenge for IT security experts, as well as an opportunity (at least for the organizations that can afford it). Mythos represents a new category of frontier model that can not only identify complex memory safety issues and logic flaws hidden in legacy code but also exploit them in increasingly sophisticated ways. This dramatically compounds and expands the outsize role currently played by AI-driven vulnerability scanning both in corporate IT security teams and open source communities. Mythos, however, represents more than a deluge of AI

Model Context Protocol (MCP) servers often execute code or commands as instructed by an AI agent, exposing them to various risks. To help mitigate these risks, you should implement strict runtime security measures to contain what the server can do and to sanitize what it processes.As discussed in our previous blog post, MCP security: Implementing robust authentication and authorization, an important aspect of MCP security is the ability to monitor autonomous agent behaviour and identify potential threats in real-time. By maintaining a detailed audit trail of tool invocations, authentication ev

Once organizations move beyond experimenting with a small handful of large language models (LLMs), the limits of manual model deployment become clear. What may work for early testing and development quickly turns inefficient, expensive, and difficult to scale. As the number of models, variants, and versions grow, teams are left not only managing increasing operational complexity, but also determining which GPU resources are the best fit for each workload.This challenge often turns into a kind of hardware-model Tetris. Most enterprises operate with a diverse mix of GPU infrastructure, from cutt

We recently announced the general availability (GA) of managed identity and workload identity for Microsoft Azure Red Hat OpenShift clusters. With this, users benefit from short-lived, limited permission credentials that enhance security and reduce operational overhead that may otherwise come with longer lived credentials such as service principals.Now, we’d like to call attention to a significant enhancement to the cluster creation process. A fully integrated portal experience for deploying managed identity-based Azure Red Hat OpenShift clusters is now available.Simplicity and speed: Deploy

Scientific research has a compute problem. Not a shortage of ideas, but a shortage of infrastructure that can keep up with them. It also has a platform problem—how can we deliver generative AI (gen AI) capabilities through the right architecture and operating model so institutions can provide access without handing every user unrestricted access to expensive models and runaway spend.What are small language models?Small language models (SLMs) are usually domain-specific AI models developed with significantly fewer parameters than their massive counterparts, typically ranging from 1 billion to

Legacy software doesn't retire itself. It sits in production, accumulating technical debt, resisting change, and quietly becoming a risk—not because of what it does, but because of what it can no longer support.That's the challenge facing leading systems integrators (SIs) working in support of government and industry. Across a portfolio of mission-critical applications, SIs and aerospace companies are managing aging Python and Java codebases that need to move to a modern, security-focused, and supportable foundation—specifically Red Hat Enterprise Linux 10 (RHEL 10).The goal isn't just a s

Many SAP environments are deployed in a hybrid landscape where applications may run on-premise, or on Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), or Software-as-a-Service (SaaS). Red Hat has three product solutions to support SAP workloads including Red Hat Enterprise Linux (RHEL), Red Hat Ansible Automation Platform, and Red Hat OpenShift. In this blog I demonstrate how these solutions are used in a hybrid landscape to run, simplify, and expand SAP capabilities.The following diagram depicts an example hybrid SAP landscape, with each number marker explained in following s