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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

The news late last year about Red Hat's acquisition of Chatterbox Labs is just one part of how we plan to accelerate trusted AI for the enterprise. In the age of generative AI, having a transparent, flexible, and reliable platform for innovation is more critical than ever. And of course, Red Hat believes the open source development model is the most effective path to deliver on that promise.Recently, the Amazon AGI Labs team published a paper, Integrating Safety Testing into GenAI Development: Lessons from Amazon Nova and Chatterbox. This paper documents a collaboration between Amazon Nova's R

AI-driven network operations are increasingly becoming central to how service providers manage network complexity, optimize performance, and deliver services faster and more efficiently. AI is no longer just an application-layer technology, it’s becoming foundational to how modern service provider’s networks function.However, to benefit from this shift, service provider infrastructure must become AI-native, which requires embedding AI directly into network operations, service platforms, and security models across the core, edge, and network. With this in mind, Red Hat is teaming up with NV

The clock is ticking for communications service providers (CSPs). To survive in the telecommunications (telco) industry, every CSP should consider making steps to transition to a “techco” model, where CSPs don’t just provide connectivity but also software and platform innovation. StarHub, a leading Singapore CSP, has been driving its own telco-to-techco transformation for the past three years by emphasizing open source innovation, providing the backbone for polycloud agility and driving towards a future state as a trusted service provider (TSP).Polycloud agility: The engine for real-time

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 3 | Part 4 | Part 5In our previous installment of the story of how Red Hat Enterprise Linux (RHEL) 10 came to be, years of hard work arrived at the Red Hat Summit stage and the team shared what it felt like to watch the world react. In our final installment, the team reflects on how Red Hat comes together to support the

In the early days of automation, the math was simple. If a task took 60 minutes manually and 2 minutes with a script, you saved 58 minutes. Multiply that by 100 times and you had your ROI. Today’s IT leaders are moving beyond these basic stopwatch metrics; they are using Red Hat Ansible Automation Platform and finding that automation’s real impact is measured in reliability, security, and the ability to accelerate in daily tasks.In dynamic and distributed IT environments, measuring automation success purely by task-level time savings fails to capture the true scope of its impact. For IT le

SDTimes - Red Hat launches unified platform for deploying and managing AI models, agents, and appsRed Hat introduced a unified AI platform to move organizations from pilot to production. Red Hat AI Enterprise offers a standard environment for managing models, agents, and apps, featuring high-throughput inference runtimes, bias monitoring, and day-2 capabilities like dynamic resource scaling and unified security across any hardware. Learn more Fierce Network - Red Hat, Nvidia hand enterprises keys to the AI factoryRed Hat launched turnkey Red Hat AI Factory with NVIDIA offering, pairing NVIDI