Red Hat News

Federated AI inverts the traditional machine learning paradigm. Instead of bringing data to the model, it brings the model to the data. Training happens locally on distributed nodes (i.e., hospitals, banks, and edge devices), and only model updates are shared with a central coordinator. The raw data never leaves its source. We will discuss this approach and how it enables collaborative AI while addressing privacy regulations (i.e., GDPR-EU data protection and HIPAA-US healthcare privacy) and data sovereignty requirements critical for healthcare, finance, and cross-border deployments. In this p

When Red Hat revealed our AI quickstarts, EDB suggested a use case to balance the business need for data with the non-negotiable demand for governance. We often treat this as a zero-sum game, but what if the architecture itself could negotiate peace?This Data Governance Co-Pilot AI quickstart, built on Red Hat OpenShift AI and EDB Postgres AI (PGAI) platform, treats safe data discovery as a requirement. It provides a protected workspace where any data consumer can navigate complex schemas and extract insights with less risk of tripping compliance wires.Retrieval-augmented generation (RAG) with

Red Hat Summit 2026 arrives in Atlanta in two months! If you’re joining us May 11-14 at the Georgia World Congress Center, you can begin planning your week of keynotes, product roadmaps, lightning talks, power trainings, labs, breakout sessions, social events, and more using the session catalog and agenda builder. If you haven’t registered yet – don’t worry! There’s still time to submit your registration and confirm your spot at Red Hat Summit. The Red Hat Summit 2026 session catalog details hundreds of compelling sessions and labs focused on today’s leading tech topics – AI, vir

Today, the Fedora Project is excited to announce that the beta version of Fedora Linux 44 - the latest version of the free and open source operating system - is now available. Learn more about the new and updated features of Fedora 44 Beta below and don’t forget to make sure that your system is fully up-to-date before upgrading from a previous release.What’s new in Fedora 44 Beta?Installer and desktop ImprovementsGoodbye Anaconda created default network profiles: This change will impact how Anaconda populates network device profiles so that only devices configured during installation – b

Earlier this year, we launched the Red Hat AI quickstart catalog, a collection of ready-to-run blueprints designed to help organizations move from talking about AI to using large language models (LLMs) to solve real-world problems. This provides systems integrators and architects with example AI solutions that Red Hat engineering has tested and streamlined for easy deployment.Once you've successfully rolled out an interactive solution on Red Hat AI, however, the next question is usually, "How do I protect this in the real world?"To help answer this, we've expanded the AI quickstarts catalog wi

In our previous article Context as architecture: A practical look at retrieval-augmented generation, we treated retrieval-augmented generation (RAG) as an architectural idea. We explored why retrieval exists, how it changes the system around a language model, and where its boundaries lie. That framing is necessary, but incomplete.Once teams move beyond prototypes and begin operating RAG systems in production, a new reality sets in. Retrieval does not fail loudly. It fails subtly, probabilistically, and often convincingly. Systems return an answer, grounded in some source, even when that source

Red Hat MWC Barcelona NewsroomFollow Red Hat's news from the world’s largest mobile industry event including customers and partners like Bell Canada, Telenor AI Factory, Telefónica, NVIDIA and more. Learn more Telstra advanced autonomous networks ambition through breakthrough collaboration with Red Hat, Dell Technologies and CiscoTelstra has reached a key milestone in its journey toward building one of the world’s most advanced autonomous networks by successfully demonstrating an AI-enabled self-healing capability, in collaboration with Red Hat, Dell Technologies and Cisco. Learn more

This blog is an adaptation of our keynote presentation at PyTorch Day India. In the debate between open source and proprietary technology, open source wins — especially in the AI arena. However, as the generative AI era continues, enterprises face a new version of an old challenge. While the industry is moving at breakneck speed, much of the underlying infrastructure remains fragmented or locked behind proprietary gates. If AI is to be the key to unlocking unprecedented potential, it must be open at every layer—from the datasets and training pipelines to the infrastructure and the serving

At Red Hat, we’ve always believed that the most complex challenges in technology are best solved through open collaboration. This week, as announced by the Linux Foundation, Red Hat has officially joined the OCUDU (Open Centralized Unit / Distributed Unit) Ecosystem Foundation as a general member.Launched under the stewardship of the Linux Foundation, OCUDU represents an important shift in how cellular networks are built. By creating a carrier-grade, open source software stack for 5G, 5G-Advanced, and 6G, the project aims to do for the Radio Access Network (RAN) what Linux did for the data c

The Model Context Protocol (MCP) is increasingly relevant in today’s agentic AI ecosystem because it standardizes how AI agents access tools, data sources, and external systems. As agents move from passive chatbots to autonomous actors capable of planning and executing tasks, MCP provides a structured, interoperable interface layer that enables tool invocation with enhanced security, controlled access to external systems, and more consistent policy enforcement across heterogeneous environments.. In essence, MCP forms the connective tissue between LLM-driven reasoning and real-world system ex

At Red Hat Summit 2025, we introduced Ask Red Hat, a conversational AI designed to be an intelligent front door for our customers. It began as a rapid 12-week build to prove that open source AI could transform the support experience.Today, Ask Red Hat has evolved from a proof of concept into a sophisticated production reality. As of late 2025, it has served over 50,000 unique users and handled more than 450,000 messages. It is no longer just a standalone tool but a cross-product orchestration layer, integrated directly into docs.redhat.com and new support case creation in the Red Hat Customer

For many large companies, AI is on every agenda, yet many leaders are still trying to make sense of what to do next. A big reason for this uncertainty is that huge amounts of data are still locked away in separate departments or stuck in systems that don't talk to each other, making it hard to turn that data into real value.The shift toward open collaborationIn 2026, the most forward-looking companies are starting to let go of the instinct to hold data tightly. Instead, they are focusing on what you might call a resilience advantage: working in open, collaborative networks that increase streng

The latest updates to Red Hat OpenShift bring significant enhancements to monitoring and troubleshooting directly within OpenShift. Red Hat OpenShift observability has evolved into a highly integrated ecosystem that combines metrics, logs, traces, and network telemetry into a single experience. It removes the tool sprawl typically associated with Kubernetes, replacing fragmented dashboards with a centralized, hardened, and supported platform.Cluster observability operator 1.4The cluster observability operator (COO) acts as a "meta-operator". Its primary job is to deploy and manage independent

With our previous release of Red Hat OpenShift AI, we established a solid foundation for your enterprise AI infrastructure. Today, with the release of OpenShift AI 3.3, we are tackling the polarizing forces that often prevent AI projects from reaching production—the need for rigorous governance versus the demand for rapid developer access.OpenShift AI 3.3 introduces a suite of tools designed to manage a centralized hub of AI assets while optimizing for the multimodel, multiagent future.Centralized assets: The AI hubAs enterprises move beyond single-model use cases, discoverability becomes a

In the enterprise world, the AI hype has officially met the reality check. Organizations are no longer asking if AI can help; they are asking how fast it can deliver value without breaking the bank or the infrastructure.At Red Hat, we see a recurring pattern: the most successful AI pioneers aren't just building better models - they are building better environments to manage those models. From banking in Istanbul to government services in Spain, here is how Red Hat AI is turning weeks of waiting into minutes of doing.Use Case 1: Accelerating data science productivityThe innovation tax in AI is

As organizations modernize their IT environments, Windows workloads continue to play a critical role across business operations. At the same time, licensing complexity and operational overhead are driving teams to evaluate more flexible and cost-effective paths to the cloud.Today, we announce the general availability of Windows License Included for Red Hat OpenShift Virtualization on Red Hat OpenShift Service on AWS (ROSA), providing customers with a simpler way to run Windows virtual machines alongside Linux workloads and containerized applications on a fully managed hybrid application platfo

Enterprises can now serve Earth and space AI models—like those developed by NASA and IBM—on Red Hat AI Inference Server, with autoscaling on Red Hat OpenShift AI.Earth and space AI is moving from research to production—extreme weather risk, solar flare forecasting, disaster response, precision agriculture, and urban planning all depend on turning petabytes of satellite and sensor data into decisions. New foundation models, like those developed by NASA and IBM, bring high-accuracy, multimodal representations of the systems captured by these petabytes of data. This includes Prithvi-EO for

A Virtualization Migration Assessment (VMA) is a strategic engagement designed to help organizations modernize their infrastructure. It provides a structured path for organizations looking to migrate virtualized workloads to Red Hat OpenShift Virtualization, offering deep visibility into the current environment and defining a clear, actionable migration plan. Learn more about how to simplify your migration.At Red Hat Consulting, we start by validating an organization's readiness to ensure we align on expectations, migration scope, and tangible business outcomes. Based on recent field experienc

Network automation is essential for organizations today. However, simply implementing tools isn't enough; without a unified strategy, isolated automation efforts often hinder the progress they were meant to accelerate.To address this challenge, Red Hat and Juniper by HPE Juniper Networking have deepened our partnership to provide a more streamlined, proven, and flexible automation experience. This collaboration centers on delivering more strategic momentum and more resilient operations for our joint customers.A single source of truth to automate JunOS networking devicesManaging multiple versio

A decade ago, neither nations nor financial institutions considered digital sovereignty a top priority, nor was it even relevant enough for a coffee discussion in most cases. Supply chain globalization was the mainstream for most procurement categories, and where and what to outsource was simply a matter of buying the best possible product or service at the best possible price, shaped only by existing sanctions, regulations, and other operational risks, such as having a backup vendor ready for critical supplies. Examples of such a global supply chain with an extremely high degree of specializa