Red Hat News

Red Hat Expands Collaboration with NVIDIA to Pair Enterprise Open Source with Rack-Scale AI for Faster, Production-Ready InnovationRed Hat and NVIDIA have expanded their collaboration to launch Red Hat Enterprise Linux for NVIDIA, a specialized platform designed to provide Day 0 support for the NVIDIA Rubin architecture. This partnership aims to industrialize open source AI by providing a secure, stable, and unified infrastructure that scales enterprise AI workloads across hybrid cloud environments. Learn more Wired - Jensen Huang Says NVIDIA's New Vera Rubin Chips Are in ‘Full Production’

Red Hat Enterprise Linux (RHEL) system administrators and developers have long relied on a specific set of tools to diagnose issues, combined with years of accumulated intuition and experience. But as environments grow more complex, the cognitive load required to effectively decipher logs and troubleshoot issues has been increasing.Today, we are excited to announce the developer preview of a new Model Context Protocol (MCP) server for RHEL. This new MCP server is designed to bridge the gap between RHEL and Large Language Models (LLMs), enabling a new era of smarter troubleshooting.What is the

In the previous articles, we discussed how integrating AI into business-critical systems opens up enterprises to a new set of risks with AI security and AI safety [link], and explored the evolving AI security and safety threat landscape, drawing from leading frameworks such as MITRE ATLAS, NIST, OWASP, and others [link]. In this article, we'll examine the architectural considerations for deploying AI systems that are both secure and safe.A resilient AI architecture must be designed with a defense-in-depth philosophy, integrating controls that address both traditional cybersecurity threats and

As our reliance on connected devices and software deepens, the need for robust, transparent, and consistent cybersecurity practices is increasingly critical. The European Union's Cyber Resilience Act (CRA) represents a landmark legislative moment, with the act’s purpose to be “ensuring that hardware and software products are placed on the market with fewer vulnerabilities and that manufacturers take security seriously throughout a product's lifecycle”. This welcomed initiative aims to protect consumers and businesses with products that are secure by design and manufacturers who are trans

Managing a hybrid environment can feel like a balancing act between disparate sets of fragmented tools used for all the different platforms you interact with. If that sounds familiar, then your team needs integrated management across your diverse hybrid infrastructure. With Red Hat Hybrid Cloud Console, you can manage your public cloud instances, on-premise virtualization, and security compliance all in one dashboard.The Red Hat Hybrid Cloud Console was built to solve fragmentation by unifying the management of Red Hat Enterprise Linux (RHEL), Red Hat OpenShift, and Red Hat Ansible Automation

New year, new pressureAs a PMM, I spend a lot of time at the intersection of technology and the way we communicate it. It is my job to understand what companies shaping the AI infrastructure space are bringing to market, and also to pay attention to the why and how behind the way they talk about it. Online, at conferences around the world, and in hallway conversations, I am watching not only what our industry is building but the framing that surrounds it. Across AI gatherings this year, both virtual and in person, a pattern has become impossible to miss: AI is being marketed through urgency an

The Red Hat Partner Program continues to evolve with enhancements centered on the entire partner lifecycle and designed to deliver three core outcomes for partners: simplicity, predictability, and profitability.Today, we are excited to introduce the latest updates to the Red Hat Partner Program. With these enhancements, Red Hat is providing a structure that prioritizes co-investment to drive profitability across core business areas for partners. By actively investing in partner programs, incentives and digital tooling, we can more seamlessly enable accelerated growth, reduce friction and expan

This article details Red Hat's engineering efforts to support running a Oracle Database 19c on Red Hat OpenShift Virtualization. It provides a comprehensive reference architecture, validation results covering functionality, performance, scalability, and live migration, along with links to testing artifacts hosted on GitHub.OpenShift Virtualization offers robust performance for demanding production workloads, such as Oracle databases, providing a viable virtualization alternative without sacrificing performance. This is especially for technology leaders, architects, engineering teams, and proje

I am currently collaborating with my product marketing team on content explaining why organizations—whether they currently use Red Hat Enterprise Linux (RHEL) or not—should standardize on RHEL today. The content is fresh in my mind, and I wanted to share some of it with you in advance, as I believe it contains compelling insights.As you likely know, we launched numerous new features and capabilities this year with RHEL 10, including image mode for RHEL, which enables users to create and manage operating system images for consistent deployment, and the RHEL command-line assistant powered by

General availability (GA) support is now available for Red Hat OpenShift versions 4.18, 4.19, and 4.20 running on VMware vSphere Foundation 9 (VVF9) and VMware Cloud Foundation 9 (VCF9).As organizations continue to modernize their infrastructure, Red Hat remains committed to providing a stable, certified, and high-performance foundation for Kubernetes workloads across diverse environments. This announcement means that all current Red Hat customers deploying OpenShift on vSphere 8/vCenter 8 or VCF 5 can run their workloads on OpenShift clusters deployed on VVF9 or VCF9 as an infrastructure prov

Red Hat Accelerates AI Trust and Security with Chatterbox Labs AcquisitionRed Hat has acquired Chatterbox Labs, a specialist in AI safety and generative AI guardrails. This acquisition integrates model-agnostic security and transparency tools into the Red Hat AI portfolio, helping enterprises deploy trustworthy, production-grade AI across hybrid cloud environments with automated risk metrics and safety testing. Learn more Fierce Network - Red Hat's CTO keeps an 'open' mind on AIRed Hat CTO Chris Wright reaffirms the company's commitment to "default to open" for AI, underscoring how open ecos

At Red Hat OpenShift Commons Gathering in Atlanta on November 10, 2025, Satish Puranam, Director of Cloud and Developer Experience at Ford, and Sitaram Iyer, VP of Emerging Technologies at CyberArk, outlined how Ford manages over 200 Red Hat OpenShift clusters amid a complex digital transition. Their strategy relies on a single, non-negotiable mandate: everything must be keyless. Image 1: From left, Satish Puranam, Director of Cloud and Developer Experience at Ford, and Sitaram Iyer, VP of Emerging Technologies at CyberArk.To achieve this scale, Ford has abandoned static secrets entirely, impl

IT automation is no longer optional for executives; it is a critical strategy. Organizations have moved beyond simple scripting to focus on speed and impact, using automation to power growth and reduce risk.But a critical gap remains: visibility. How do you, as a business leader, prove the return on investment (ROI) and confidently decide where to invest your next dollar?Red Hat Ansible Automation Platform's automation dashboard and analytics feature is more than an IT report; it's the financial and operational intelligence layer executives need to realize the full value of enterprise automati

The complex risks facing modern IT environments make IT security a strategic imperative, not a back-end detail. Furthering this is cloud computing, which serves as the foundation of the AI economy, meaning that enterprises and nations require greater control, transparency, and assurance over data location and protection. Trust has become not just a technical question, but a matter of national policy, corporate strategy, and even societal resilience.At the same time, the explosion of AI and machine learning (ML) workloads is reshaping infrastructure requirements. But these shifts pose a complex

Red Hat Enterprise Linux 10.1 (RHEL) features some significant updates to RPM and DNF, two technologies designed to help you manage software installs and updates. The RPM package manager (RPM) creates installation files used to install and uninstall an application, and that can be queried for information about what libraries and binaries the application contains. The dnf command is the tool used on RHEL to search for available applications, and then to install, update, or uninstall them. These are important components of a computer system, so we've worked hard to improve them.RPM signature imp

Imagine that after 60 hours of training, a large language model (LLM) on an 8x NVIDIA H100 GPU cluster costing $55 an hour, your job fails at 90% completion. You must restart from your last checkpoint, which was saved 3 hours ago, wasting $165 in compute costs, and delaying model deployment. This kind of scenario isn't hypothetical, it's a daily reality for organizations running distributed AI training workloads in production environments. LLM training represents one of the most compute-intensive workloads in modern AI infrastructure. With GPU clusters costing thousands of dollars and training

The final quarter of the year is marked by accelerated innovation. Red Hat is leading the way by integrating AI into management, fortifying our security foundations, and readying your infrastructure for both present and future demands like quantum computing and highly scaled virtualization. This month brought significant platform updates across Red Hat Enterprise Linux (RHEL) and Red Hat OpenShift, along with key insights from our performance engineering teams. The following articles provide the essential technical and strategic information you need to make the most of your hybrid cloud journe

A lot of teams we work with are juggling 2 worlds at once: the Red Hat OpenShift projects that keep accelerating, and the previous hypervisor platforms or physical infrastructure that need to be kept to run the traffic management and security policies of the BIG-IP appliances.This gets the job done, but nobody enjoys maintaining 2 sets of infrastructure with 2 different lifecycles. It’s a tax we all pay because there hasn’t been a clean alternative.Now there is.F5 BIG-IP Virtual Edition (VE) is officially validated by F5 to support Red Hat OpenShift Virtualization and listed in the Red Hat

The open source AI ecosystem has matured quickly, and many developers start by using tools such as Ollama or LM Studio to run large language models (LLMs) on their laptops. This works well for quickly testing out a model and prototyping, but things become complicated when you need to manage dependencies, support different accelerators, or move workloads to Kubernetes.Thankfully, just as containers solved development problems like portability and environment isolation for applications, the same applies to AI models too! RamaLama is an open source project that makes running AI models in containe

This series takes a look at the people and planning that went into building and releasing Red Hat Enterprise Linux 10. From the earliest conceptual stages to the launch at Red Hat Summit 2025, we’ll hear firsthand accounts of how RHEL 10 came into being.Part 1 | Part 2 | Part 3In our previous installment of the story of how Red Hat Enterprise Linux (RHEL) 10 came to be, we got insights into the testing process and how the headline features (and the stories around those features) started coming together. In part 4, those stories come into clearer focus as the team works to put the finishing t