957 articles · page 3 of 20
Red Hat, Thursday, April 2nd, 2026
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
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Red Hat, Wednesday, April 1st, 2026
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 is proud to announce our strong results from the latest industry-standard MLPerf Inference v6.0 benchmark.
more → Red Hat, Tuesday, March 31st, 2026
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
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
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
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
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
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
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
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
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
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
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
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
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 (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
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
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
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
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
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
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
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
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 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
more → Red Hat, Friday, March 20th, 2026
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
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
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.
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Red Hat, Friday, March 20th, 2026
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
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
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
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.
more → Red Hat, Friday, March 6th, 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, March 5th, 2026
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.
more → Red Hat, Thursday, March 5th, 2026
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.
more → Red Hat, Thursday, March 5th, 2026
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.
more → Red Hat, Wednesday, March 4th, 2026
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.
more → Red Hat, Wednesday, March 4th, 2026
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.
more → Red Hat, Tuesday, March 3rd, 2026
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.
more → Red Hat, Tuesday, March 3rd, 2026
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.
more → Red Hat, Tuesday, March 3rd, 2026
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.
more → Red Hat, Monday, March 2nd, 2026
I occupy a peculiar space in the workforce: I'm an Elder Millennial. This means I'm old enough to remember landlines, but young enough to scroll TikTok, understand why '67' was a trend, and adapt to the ever-growing glossary of slang younger generations are creating.
more → Cloud Native Now, Monday, March 2nd, 2026
Red Hat, this week at the Mobile World Congress (MWC) 2026 conference, revealed that a number of providers of telecommunications services have opted to adopt its platforms to build and deploy cloud native software for both internal operations and external-facing applications.
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Red Hat, Sunday, March 1st, 2026
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.
more → Red Hat, Friday, February 27th, 2026
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.
more → Red Hat, Thursday, February 26th, 2026
For the last decade, the story of 5G has been like a body that developed a massive high speed nervous system but lacked the central brain to command it. The telecom industry spent billions on the most sophisticated nervous system the world has ever seen including fiber, towers, and low latency spectrum, only to find out that this powerful system was mostly being used to carry the impulses and commands of others.
more → Red Hat, Thursday, February 26th, 2026
If you aren't currently architecting for AI, you are part of a rapidly dwindling minority. By 2026, the pivot is no longer optional: AI has moved from a peripheral tool to the primary engine for transforming digital businesses, slashing operational complexity and driving revenue growth.
more → Red Hat, Wednesday, February 25th, 2026
The Model Context Protocol (MCP) is an open protocol designed to standardize how large language models (LLMs) connect to external tools, APIs, and data sources. Rather than relying on ad hoc, model-specific integrations, MCP defines a structured client-server architecture that allows AI applications to request context and invoke tools in a more consistent and interoperable way.
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