Red Hat Blog, April 27,2026
From Lab to Ledger: Scaling Enterprise AI at Red Hat Summit 2026
Red Hat Summit 2026 showcases enterprise AI scaling strategies through customer case studies and partner ecosystem collaborations.
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Red Hat Blog, April 27,2026
Innovating at the Tactical Edge: Red Hat at Exercise: HEIMDALL
Red Hat showcased open source AI and edge computing solutions at NATO's Exercise HEIMDALL in the Arctic.
more → Red Hat Blog, April 27,2026
Redefining Security Data: Red Hat's New VEX Experience Heading to Red Hat Summit 2026
Red Hat announces a major evolution of its CSAF and VEX security data formats for better clarity and integration.
more → Red Hat, Friday, April 24th, 2026
Customer Stories And Continued Momentum: OpenShift Virtualization Sessions At Red Hat Summit 2026
Disruption in the virtualization market has not slowed down. The fallout from industry licensing and packaging changes continues to push organizations into decisions they were not planning to make this year, and for many, the timelines are getting shorter, not longer.
more → Red Hat, Friday, April 24th, 2026
When Less Is More: Why Less Precision And Fewer Parameters Carry Enterprise AI
Running Llama 70B as an on-demand cloud inference endpoint costs roughly $16,000 per month. Running Llama 8B costs about $734. For teams where an 8B model meets the quality bar for their workload, that gap is very hard to ignore.
more → Red Hat, Friday, April 24th, 2026
Red Hat Friday Five - April 24, 2026
The Friday Five is a weekly Red Hat blog post with 5 of the week's top news items and ideas from or about Red Hat and the technology industry. Consider it your weekly digest of things that caught our eye.
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Red Hat, Wednesday, April 22nd, 2026
The Subject Matter Expert Advantage In The AI Era
You have probably heard the narrative by now: AI is coming for your job. Headlines suggest that entire professions will soon disappear, replaced by increasingly capable models that can analyze, code, write, and reason faster than any human. But is that really the case?
more → Red Hat, Tuesday, April 21st, 2026
Unlock Enterprise-Ready, Secure AI With Red Hat Lightspeed Agent For Google Cloud
As enterprise IT enters the era of autonomous workflows, we are excited to introduce the Red Hat Lightspeed Agent for Google Cloud, now available on the Google Cloud Marketplace.
more → Red Hat, Friday, April 10th, 2026
AI For Scientific Research: Building The Research Platform That Science Needs With Red Hat AI
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.
more → Red Hat, Friday, April 10th, 2026
Friday Five - April 10, 2026
The Friday Five is a weekly Red Hat blog post with 5 of the week's top news items and ideas from or about Red Hat and the technology industry. Consider it your weekly digest of things that caught our eye.
more → Red Hat, Wednesday, April 8th, 2026
Navigating The Mythos-Haunted World Of Platform Security
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.
more → Red Hat, Friday, April 10th, 2026
MCP Security: Logging And Runtime Security Measures
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.
more → Red Hat, Friday, April 3rd, 2026
Friday Five - April 3, 2026
The Friday Five is a weekly Red Hat blog post with 5 of the week's top news items and ideas from or about Red Hat and the technology industry. Consider it your we ekly digest of things that caught our eye.
more → Red Hat, Thursday, April 2nd, 2026
Running LLMs Dynamically, In Production, On Limited Resources, Is Hard. We Think There's Room For Another Approach...
The promise of large language models (LLMs) is clear. From code generation to customer support, from document analysis to creative workflows, organizations everywhere are racing to integrate LLMs into their products and operations.
more → Red Hat, Thursday, April 2nd, 2026
Red Hat And NVIDIA: Setting Standards For High-Performance AI Inference
Red Hat is proud to announce industry-leading results from the latest MLPerf Inference v6.0 benchmarks, achieved through deep engineering co-design with NVIDIA.
more → Red Hat, Thursday, April 2nd, 2026
Automating The Modern Network: A Q1 Network Automation Recap
As the first quarter of 2026 comes to a close, we have seen a shift in the role of network automation. It's no longer a "nice to have" and instead is a critical support for AI-driven workloads, edge computing, and hybrid cloud environments
more → Red Hat, Wednesday, April 1st, 2026
Why Customers Are Choosing Red Hat AI For Real Business Outcomes
Most leaders I speak with are well past the hype cycle of AI. The question is no longer whether AI matters. The question is how to move from experimentation to production in a way that is security-focused, supportable, and repeatable across teams.
more → Red Hat, Wednesday, April 1st, 2026
Red Hat AI tops MLPerf Inference v6.0 with vLLM on Qwen3-VL, Whisper, and GPT-OSS-120B
Red Hat is proud to announce our strong results from the latest industry-standard MLPerf Inference v6.0 benchmark.
more → Red Hat, Tuesday, March 31st, 2026
Using Containers To Bring Software Engineering Rigor To AI Workloads
As AI workloads move from experimental prototypes into production environments, enterprises face a familiar challenge-how do you protect, manage, and govern these new components with the same rigor you apply to traditional software applications?
more → Red Hat, Tuesday, March 31st, 2026
Our Journey To AI-Centricity, Part 2: Crafting A Strategy That Scales
In the first part of this series, we discussed the messy and challenging work of fixing our foundation - standardizing on Red Hat OpenShift and cleaning up years of fragmented data. With that foundation in place, we faced a new challenge: how to integrate AI into how Red Hatters work without creating new internal barriers or security risks.
more → Red Hat, Monday, March 30th, 2026
Our Journey To AI-Centricity, Part 1: Building On A Stable Foundation
At Red Hat, our IT and Engineering functions encounter the same challenges and make the same decisions our customers face every day, from infrastructure optimization and application delivery to automating and enhancing the security of our global business.
more → Red Hat, Monday, March 30th, 2026
Announcing Red Hat Advanced Cluster Security For Kubernetes 4.10
Security is an important aspect of any digital undertaking, and Kubernetes is no different. We've built Red Hat Advanced Cluster Security for Kubernetes to form a foundational layer of security across fleets, estates, and platforms, be it public, private, or hybrid clouds.
more → Red Hat, March 27,2026
What's New In Red Hat OpenShift Virtualization 4.21
Red Hat OpenShift Virtualization 4.21 is now Generally Available. The release of Red Hat OpenShift Virtualization 4.21 introduces new capabilities that simplify virtual machine (VM) management, enhance operational efficiency, and expand deployment flexibility across hybrid and multi-cloud environments.
more → Red Hat, March 27,2026
Red Hat Friday Five - March 27, 2026
The Friday Five is a weekly Red Hat blog post with 5 of the week's top news items and ideas from or about Red Hat and the technology industry. Consider it your we ekly digest of things that caught our eye.
more → Red Hat, March 27,2026
Closing The Gap: Bringing AI And Kubernetes To The Source Of The Data
Moving to the edge isn't just a trend; it's a response to the need for faster results. By processing data right where it's created, organizations are finding they can finally unlock real-time decision-making and make their operations significantly more efficient.
more → Red Hat, March 27,2026
AI Security: Identity And Access Control
In our first 3 articles, we framed AI security as protecting the system, not just the model, across confidentiality, integrity, and availability, and we showed why the traditional secure development lifecycle (SDLC) discipline still applies to modern AI deployments.
more → Red Hat, March 27,2026
4 Use Cases For AI In Cyber Security
In product security, AI represents a new and critical frontier. As artificial intelligence becomes mainstream in both defense tools and exploitation methods, security professionals must master these technologies to more effectively protect and enhance their systems.
more → Red Hat, March 26,2026
Modernize Virtual Machines On Google Cloud With Red Hat OpenShift Virtualization
We recently announced that Red Hat OpenShift Virtualization is now available on OpenShift Dedicated on Google Cloud allowing customers the ability to migrate and modernize their VMs to Google Cloud.
more → Red Hat, March 26,2026
AIOps and MLOps made simple: Automating Vertex AI with Red Hat Ansible Automation Platform
In the era of gen AI and rapid machine learning (ML) adoption, enterprise AI is no longer just a research experiment-it's a core business driver. But as organizations rush to operationalize their AI initiatives, they're hitting a significant roadblock: deployment and management at scale.
more → Red Hat, March 26,2026
AI Security: Defending Against Prompt Injection And Unsafe Actions
In previous articles, we framed AI security as protecting confidentiality, integrity, and availability of the whole AI system, not just the model. We also mapped AI risks onto familiar secure development lifecycle (SDLC) thinking, treating data and model artifacts as first-class build inputs and outputs.
more → Red Hat, March 25,2026
Stop Searching, Start Operating: Scale Hybrid Clusters With Red Hat Advanced Cluster Management For Kubernetes 2.16
If you've been following our journey from elevating multicluster operations in 2.12 to expanding hybrid cloud reach in 2.13, then you know our goal has always been unified control.
more → Red Hat, March 25,2026
Red Hat Enterprise Linux Is Ready For AWS M9G Instances, Powered By Graviton5
Red Hat Enterprise Linux (RHEL) is now validated on the new AWS Graviton5-based Amazon EC2 M9g instances, now available in public preview. At Red Hat, we aim to deliver a solid infrastructure that serves as a foundation for the important work you do.
more → Red Hat, March 25,2026
Mapping The AI Attack Surface: Vulnerabilities In The Model Lifecycle
Standard AI security benchmarks can't check for all of the possible ways an AI model can be compromised. A backdoor trigger could cause targeted failure, a competitor could clone your API model through repeated queries, or a privacy probe might reveal whether a specific person's data was used in training.
more → Red Hat, March 25,2026
Accelerating Innovation: Building Your AI Factory For The Future
The era of AI exploration has opened doors to incredible possibilities. Today, the most forward-thinking organizations are moving toward a new horizon: turning those successful experiments into a standardized, high-performance engine for growth. T
more → Red Hat, March 24,2026
What Does 'AI Security' Mean And Why Does It Matter To Your Business?
Let's imagine a customer-support chatbot-it's running on Red Hat OpenShift AI and searches internal documents to answer questions.
more → Red Hat, March 24,2026
SAS Viya Platform with Red Hat OpenShift - Part 1: Reference Architecture and Deployment Considerations
In this two-part blog, we will provide essential technical information about SAS Institute's SAS Viya platform, as well as a reference architecture for deploying SAS Viya on Red Hat OpenShift.
more → Red Hat, March 24,2026
Nairr, Red Hat, And Open Source Help Provide The Control Plane For AI Research
Artificial intelligence (AI) projects in the open source community are growing at a pace that is both exhilarating and challenging. Stanford University's 2025 AI Index Report, presented information on a staggering 4.3 million open source AI projects created on GitHub during the previous year-a 40% jump in just 12 months.
more → Red Hat, March 24,2026
From Experiment To Production: A Reliable Architecture For Version-Controlled MLOps
In the fast-paced world of artificial intelligence/machine learning (AI/ML), the biggest challenge isn't just building a model-it's managing the data that powers it.
more → Red Hat, March 24,2026
Architecting The Upside For Open Source AI
This blog is adapted from a recent conversation I had with Boston University CIO Chris Sedore, featured in Red Hat Research Quarterly's article, 'We've got to have everyone: combining research innovation with enterprise operations.'
more → Red Hat, March 23,2026
The State Of Cloud-Native Security 2026: Maturity Gaps And The Automation Mandate
Hybrid cloud security isn't just getting harder-it's reaching a breaking point. While security has always been a race without a finish line, Red Hat's 2026 State of Cloud-Native Security Report reveals that many organizations are now trapped in a cycle of controlled chaos.
more → Red Hat, March 23,2026
The Economics Of Red Hat OpenShift 4.21: Why Infrastructure Is Now A Financial Strategy
As businesses gather at KubeCon EU 2026, the conversation has shifted from simply adopting the latest technology to driving tangible business outcomes.
more → Red Hat, March 23,2026
Red Hat OpenShift 4.21: Smarter Scaling, Faster Migration, And AI-Powered Efficiency
Red Hat OpenShift 4.21 is designed to run AI training jobs, containerized microservices, and virtualized applications on your private, hosted, or hybrid infrastructure.
more → Red Hat, Friday, March 20th, 2026
Shift Gears: 10 Stories Redefining Enterprise IT
Shift gears: 10 stories redefining enterprise IT
more → Red Hat, Friday, March 20th, 2026
Get The Most Out Of Red Hat Enterprise Linux For Microsoft Azure
Running Red Hat Enterprise Linux for Microsoft Azure offers several benefits, including increased scalability, flexibility, cost-efficiency, and access to a wide range of managed services.
more → Red Hat, Friday, March 20th, 2026
Get The Most Out Of Red Hat Enterprise Linux For AWS
Running Red Hat Enterprise Linux (RHEL) for Amazon Web Services (AWS) offers several benefits, including enhanced scalability, flexibility, cost-efficiency, and access to a wide range of managed services
more → Red Hat, Friday, March 20th, 2026
Friday Five - March 20, 2026
The Friday Five is a weekly Red Hat blog post with 5 of the week's top news items and ideas from or about Red Hat and the technology industry. Consider it your we ekly digest of things that caught our eye.
more → Red Hat, Friday, March 20th, 2026
Beyond The Move: Introducing The Virtualization Migration Assessment Expanded
For a long time, organizations treated their infrastructure's virtualization layer as steady and predictable. You built on it and you trusted it. Lately, that stability has been disrupted by complex shifts, including rising licensing costs and the urgent requirement to get ready for AI by adding more compute, storage, and other hardware resources. The infrastructure that used to feel settled now feels like it's at a crossroads.
more → siliconANGLE, Wednesday, March 18th, 2026
Red Hat's OpenShift Strategy Signals A Broader Shift In Enterprise Infrastructure
Hybrid cloud platforms are fueling an infrastructure shift as enterprises rethink how they run AI, applications and data at scale.
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Red Hat, Tuesday, March 17th, 2026
Introducing OpenShift Service Mesh 3.3 With Post-Quantum Cryptography
Red Hat OpenShift Service Mesh 3.3 is now generally available with Red Hat OpenShift Container Platform and Red Hat OpenShift Platform Plus.
more → Red Hat, Friday, March 6th, 2026
Planning The Design Of Your Production-Grade Rag System
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.
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