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Every team that starts experimenting with generative AI (gen AI) eventually runs into the same wall: scaling it. Running 1 or 2 models is simple enough. Running dozens, supporting hundreds of users, and keeping GPU costs under control, is something else entirely.Teams often find themselves juggling hardware requests, managing multiple versions of the same model, and trying to deliver performance that actually holds up in production. These are the same kinds of infrastructure and operations challenges we have seen in other workloads, but now applied to AI systems that demand far more resources

NOTE: This blog has been updated to announce support for additional supported third-party model providers for the Red Hat Ansible Lightspeed intelligent assistant. Additional testing and validation of new model providers is ongoing. For the most recent list of supported model providers, please refer to Red Hat's official documentation. Earlier this year, we released the Red Hat Ansible Lightspeed intelligent assistant, a generative AI service which delivers an intuitive chat assistant embedded within Ansible Automation Platform. The Ansible Lightspeed intelligent assistant is like having an An

For years, my career in cybersecurity was defined by a sense of urgency and criticality. As a leader of incident response teams, I lived on the front lines, constantly reacting to the latest software vulnerabilities, cyberattacks, and anomalies. My days were a blur of alerts, patch deployments, and the relentless pressure to mitigate risk and restore operations. It was a challenging, high-stakes environment where every vulnerability felt like a direct threat.Now, I've traded the immediate firefight for a more proactive battlefield as a manager within Red Hat Product Security. This has given me

Developers are accustomed to the cloud, where a virtual machine (VM) can be launched in seconds. But in many enterprises, especially in regulated industries, requesting and receiving a VM can take a staggering 60 to 90 days. This kind of delay can stifle innovation and slow down critical projects. But what if you could provide your developers with a more seamless, self-service experience that delivers a fully configured VM in under an hour, with automated lifecycle management? This isn't a far-off dream, it's a reality you can build with Red Hat's integrated toolset.3 pillars of a modern IT se

Successfully delivering automation demands technical excellence, quality code, and reliable execution. However, scaling this success requires translating those technical wins into measurable business impact that can be communicated to leadership or integrated into business strategy. Red Hat Ansible Automation Platform offers two different capabilities that help practitioners and leaders turn operational metrics into a clear, auditable business case for expansion: Automation dashboard and automation analytics.Automation dashboard: On-premise visibilityThe automation dashboard provides a compreh

Artificial intelligence (AI) is reshaping every industry, but in highly regulated sectors, success isn’t measured only by accuracy but also by trust. Public agencies, healthcare providers, and financial institutions face a common challenge of delivering the benefits of AI while staying compliant with frameworks like FedRAMP, HIPAA, PCI DSS, and NIST 800-53.These standards set the rules for encryption, access control, auditing, and data handling. They also introduce operational constraints that limit where and how AI runs.Red Hat OpenShift AI helps to bridge that divide, allowing organization

As IT leaders and business executives, we're looking beyond the current year to make strategic plans and prepare our organizations for what's next. While AI is, without a doubt, the focus for everyone going into 2026, it's equally important to ensure the underlying technology platforms support your AI adoption strategy and your investment decisions for the future. The choices we make now regarding our technology platforms will directly impact our agility, efficiency, and ability to innovate in the years to come. We're thrilled to see a recent IDC analyst study not only validate but also offer

In many open source communities, there’s a fair amount of skepticism around the use of generative AI (gen AI) tools for contribution and development. There are valid reasons for concern. Our goal in this article, and in Red Hat's own practice, is to address those concerns directly and not dismiss them. Our answers aren't just advice for others—they enable our own engineers, most of whom are open source contributors as well. We'll share with you the guidelines we've established for Red Hat engineers, based on our use of open source principles in practice. But first, we'd like to put the cu

Earlier this month at Red Hat OpenShift Commons, co-located with KubeCon + CloudNativeCon NA in Atlanta, we had the chance to recognize a few OpenShift Superheroes. While each member of the 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. OpenShift Superheroes are made up of:Builders: Contributing to the evolution of OpenShiftAdvocates: Amplifying their OpenShift experience and learnings through events, blogs, meetups, and moreAmbassadors: S

Red Hat to deliver enhanced AI inference across AWSRed Hat collaborates with AWS to power enterprise-grade gen AI on AWS with Red Hat AI and AWS AI silicon. With this collaboration, Red Hat focuses on empowering IT decision-makers with the flexibility to run high-performance, efficient AI inference at scale, regardless of the underlying hardware. Learn more Technically Speaking with Chris Wright: Platform engineering for AI agents ft. Tushar KatarkiAs we move from chatbots to autonomous AI agents, complexity is exploding. Red Hat’s Tushar Katarki joins Chris Wright to discuss building a "K

Modern IT departments are wrestling with a sprawling array of automation and operations tools, often numbering in the dozens or even hundreds. This complexity makes efficient management and integration a significant obstacle, especially as organizations accelerate their investment in hybrid IT ecosystems, cloud services, and cloud-native application modernization. To help overcome this "tool sprawl" and its impact on productivity, enterprises are working to establish a common environment for orchestrating and managing critical IT processes—a "unified IT automation platform."To understand the

Red Hat is excited to announce the release of Red Hat OpenShift sandboxed containers 1.11 and Red Hat build of Trustee 1.0, marking a significant milestone in our confidential computing journey. These releases bring production-grade support for confidential containers in Microsoft Azure Red Hat OpenShift and introduce technology preview support for bare metal environments with Intel TDX and AMD SEV-SNP processors. Organizations can now protect their most sensitive workloads with hardware-based memory encryption and attestation capabilities across cloud and on-premises infrastructure. OpenShift

The Center for Internet Security® (CIS®) has officially published guidance for hardening Red Hat OpenShift Virtualization.The official publication of the new CIS Benchmark® for Red Hat OpenShift Virtualization is an important development for organizations running traditional virtual machines (VMs) alongside modern containers. OpenShift Virtualization is a feature of Red Hat OpenShift that allows existing VM-based workloads to run directly on the platform. This globally recognized, consensus-driven benchmark provides recommendations for creating a security-focused configuration for those env

IT teams are stuck between wanting to implement AI solutions across their organizations and dealing with the messy reality of increasingly complex infrastructure. Many are attempting to build their own automation solutions, cobbling together a patchwork of tools that, while well-intentioned, can actually make things worse. Red Hat dug into this with SP Global Market Intelligence 451 Research, and their findings point to a simpler alternative: use a unified platform instead of patchworking tools together.The DIY dilemma: More tools, more problemsMost teams are drowning in tools, often ending up

Twenty-eight percent of businesses surveyed in the recent SP Global Market Intelligence 451 Research report, “The value of a unified automation platform,” responded that their company uses 50-100+ tools that don’t seamlessly integrate. This widespread adoption of disparate solutions, often driven by a "do it yourself" mentality, can lead to overwhelming tool sprawl. The resulting lack of interoperability directly hinders innovation, fragments data insights, and ultimately undermines the effective delivery of AI solutions.As automation and AI become increasingly interdependent, systems mu

There are many reasons you might be running a virtual machine (VM) at your organization, and you're probably also using or planning to use containers at the same time. Whether you're looking to migrate away from your current virtualization platform or you're just looking for a unified platform for both VMs and containers, Red Hat OpenShift is a centralized control center for all the services you provide to your users. Here's how to get started with OpenShift Virtualization, a feature of Red Hat OpenShift.Install OpenShift and virtualization operatorsTo use OpenShift Virtualization, you must ha

Red Hat OpenShift Service on AWS (ROSA) is a fully managed application platform that offers a more seamless experience for building, deploying, and scaling applications. For machine learning (ML) workloads, ROSA now supports On-Demand Capacity Reservations (ODCR) and Capacity Blocks for ML, allowing cloud architects and platform administrators to strategically utilize their existing AWS purchases to help deliver uninterrupted access to essential compute infrastructure. Today, ROSA is available in over 30 regions and supports over 600 instance types, allowing customers to run diverse workloads

Rising virtualization costs, licensing constraints, and operational complexity are driving teams to evaluate more flexible and cost-effective paths to the cloud. Red Hat OpenShift Virtualization, combined with Red Hat OpenShift Service on AWS (ROSA), supports hardware overcommit in the cloud, allowing customers to run more virtual machines (VMs) on fewer cloud resources. By aligning resource consumption more closely to actual usage patterns, organizations can significantly reduce compute costs. This provides a practical way to consolidate VM footprints and maximize the value of cloud investmen

Last month, we launched Red Hat Ansible Automation Platform 2.6, and introduced several new features including an automation dashboard, a self-service automation portal, and the Ansible Lightspeed intelligent assistant. We hosted a follow-up webinar, What’s new with Ansible Automation Platform 2.6, during which we received some great questions from the audience about how to install, migrate, and upgrade to the latest version. To help you prepare for and navigate the Ansible Automation Platform 2.6 release, we've compiled the top questions and their answers.Installations, upgrades, and migrat

Confidential computing is needed to protect sensitive data not only when it is stored or transmitted, but also while it is actively being processed in memory - traditionally the most vulnerable phase. In this article, I demonstrate how to implement a secure runtime environment using AWS Nitro Enclaves for applications on EC2 instances running Red Hat Enterprise Linux 9.6+ (RHEL).To fully understand the concepts, use cases, and justifications for confidential computing, read our previous articles. The hardware used to provide secure communication and certification is based on AWS Nitro architec