Red Hat

Red Hat has been named to the 2026 @CRN AI 100 list! 🏆 We’re proud to support our partners in building innovative AI tech stacks that help customers thrive in an #AI-centric landscape. See the full list in the AI Cloud category here: crn.com/news/cloud/202…

In enterprise IT, change is the only constant. At #RHSummit, we’re bringing the ecosystem together to help you turn potential into tangible outcomes. Pack your bags and grab your badge to unlock what’s next: red.ht/49A7RwY.

AI is no longer just a hype cycle—it’s an operating model decision. As organizations move from experimentation to production, the focus is shifting toward security, scalability, and sovereignty. In our recent blog, we break down the 4 key reasons customers are choosing @RedHat_AI to deliver real business outcomes. Read more about why flexibility and operational consistency are the new benchmarks for AI success: red.ht/4tmMnw2

Virtualization migration is a people challenge as much as a technical one. Red Hat’s expanded assessment goes beyond the "move" to evaluate your team's skills and operational readiness. We help you mitigate risk and close expertise gaps before the first VM shifts, ensuring your move to a unified platform is both strategic and sustainable. Build your roadmap: red.ht/4siaP1i.

Forrester calls the rise of generative and agentic AI the "seventh wave" of tech change. Don’t let your strategy become a proprietary black box. See how open source principles provide a stable foundation for the new AI computing stack: red.ht/4bDnVAf.

In part 2 of our internal AI journey, Marco Bill and @kernelcdub share how Red Hat pivoted from restrictive policies to a culture of participation. Discover our 3-layer strategy for scaling AI—from associate empowerment to business transformation—and why we prioritize choice over vendor lock-in: red.ht/4s4xFbJ.

Don’t let the #RHSummit session catalog overwhelm you. @cedricclyburn, one of Red Hat’s developer advocates, is here to help. Filter by topics—like #AI or #virtualization—to build a custom schedule for your time in Atlanta. Not registered? Secure your spot to connect with Cedric and other Red Hat experts May 11-14: red.ht/49A7RwY

In this week's Friday Five, we're diving into the top news, including how we're enhancing enterprise stability with #RHEL Extended Life Cycle and expanding our work with @GoogleCloud to accelerate application modernization. Catch up on this week's highlights: red.ht/4bSCuig

The new RHEL Extended Life Cycle, Premium offers a predictable 14-year life cycle for your workloads. Get started today: red.ht/4s4H4jz.

Red Hat’s Brian Stevens and Robert Shaw joined @theCUBE at #KubeCon + #CloudNativeCon to discuss bringing production-grade AI inference to the #Kubernetes ecosystem with llm-d: youtube.com/watch?v=WhbH4c….

In the latest MLPerf Inference v6.0 benchmarks, Red Hat and @NVIDIA delivered industry-leading results for vision, speech, and reasoning models. By optimizing every layer, from the #RHEL kernel to the vLLM engine, we’re helping enterprises lower cost per token on H200 and B200 GPUs. See the data: red.ht/4mqgArT

Hot take: Software isn't perfect. Since we can't eliminate every bug, how do we manage the "known unknowns"? Find out on the latest episode of #CompilerPodcast: red.ht/4tkoPrt.

"The foundation being laid now with llm-d and @OpenShift 4.21 is clearly architected with that autonomous future in mind." - @StevenDickens3 🖐️⬇️🎤 Discover how a hybrid cloud approach provides the interoperability and workload portability needed to scale #AI across your entire infrastructure: bit.ly/4dW3zDY.

Red Hat B200 submission beat the best B300 submission by 50% on Qwen3-VL server scenario in MLPerf v6.0. Not newer hardware. Better software and performance tuning. We submitted across diverse scenarios and accelerators, including both NVIDIA and AMD GPUs. Shoutout to @vllm_project for hardware flexibility. More from our v6.0 submission: - GPT-OSS-120B on B200: 93,071 tok/s, 8% ahead of the next B200 result. First MLPerf submission for a model this scale on Kubernetes (OpenShift AI + llm-d). - Whisper on H200: 36,396 tok/s, 13% faster than the best H200 submitter. @vllm_project was used by 20 submitters in MLPerf v6.0, up from 5 in v5.1. It ran across every GPU in our stack: NVIDIA H200, B200, L40S, and AMD MI350X. Full breakdown: redhat.com/en/blog/red-ha…

#AI models take flight faster on a unified platform that connects teams to data, wherever it lives. Our customers can show you how it’s done: red.ht/3QbR90O

AI hype is everywhere, but real business value is found at #RHSummit. Join us in Atlanta to move beyond the buzz with: ✅ Secure, open, and manageable enterprise AI ✅ A clear path for modern virtualization ✅ Scaling with mission-critical automation Unlock what’s next for your tech stack: red.ht/49A7RwY.

Banks and financial firms are looking to gain more autonomy over their tech and operations. In this blog post, Red Hat financial services experts discuss the industry's strategic shift toward #DigitalSovereignty and how organizations can build flexibility into their strategies to retain control and choice, particularly in the era of AI: red.ht/3NI0dtu.

Modernize at your own pace. Red Hat @OpenShift #Virtualization is now generally available on @GoogleCloud C3 bare metal instances, bringing cloud-native agility to your performance-sensitive VM workloads. Get the details: red.ht/4sIZt6A #KubeCon + #CloudNativeCon

The real #AI opportunity is building an enterprise that can sustain it through change. Our e-book shows you how: red.ht/46uu2Dv.

Red Hat's Marco Bill and @kernelcdub pull back the curtain on our internal journey to AI-centricity. From tackling technical debt by migrating to @OpenShift to the rigorous data hygiene required for reliable model outputs, discover how we built a stable hybrid cloud foundation for our own enterprise AI: red.ht/3Ny4Jeh.