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AI Inference at scale? 🤔 Open source to the rescue! 💡 Dive into #vLLM, distributed systems, and the path to practical #AI in the enterprise with Chris Wright and brian stevens on the latest "Technically Speaking." red.ht/3FEEZJ6

Enhanced management features are coming to Red Hat Enterprise Linux (RHEL). Red Hat Insights empowers teams to make more informed decisions for deployments, featuring #AI-powered package recommendations and optimized planning for #RHEL. See the new features:

From the solutions to make the inference phase of AI more scalable and cost-effective to embedded generative AI across Red Hat’s platforms, change is everywhere. Ashesh Badani shares where we are now, and where we're going next on the blog: red.ht/45gLHiN #RHSummit

Streamline the migration of VMs from existing #virtualization platforms to a scalable, #CloudNative platform with Red Hat OpenShift Virtualization on Microsoft Azure Red Hat @OpenShift: red.ht/4dj9xfW #RHSummit

Artificial intelligence is here to stay, and it’s crucial for us to learn and adapt. But first, #CompilerPodcast considers what we might sacrifice in the process, if we aren’t careful. red.ht/4jukDQv

By implementing Red Hat OpenShift #Virtualization as part of Red Hat @OpenShift, U. Finis Terrae can quickly streamline tech operations and optimize resource management while avoiding disruption to important university activities and initiatives. Get the news:

This just in–a new analyst report from Omdia on how organizations can use #OpenSource to accelerate time-to-value and minimize future costs for both predictive and #GenAI. Download the report today: red.ht/3SAjbRV

In this week's Friday Five: a new Technically Speaking podcast episode on scaling #AI inference with #OpenSource, the announcement of OLM v1, and more. Read the blog for all the details: red.ht/43Nj22F

Red Hat Advanced Developer Suite is a comprehensive solution designed to improve developer productivity and app #security while providing a foundation for #AI-enabled app development. Check it out: red.ht/42YmKat #RHSummit

Hope you enjoy this great discussion I had with brian stevens on Technically Speaking. The future of open source AI inference!

.Ensono is embracing the power of #automation with Red Hat @Ansible Automation Platform to prioritize innovation, streamline its complex IT landscape, accelerate deployment velocity, and enhance operational consistency for customers. Learn how: red.ht/3GXETMX

We'll see you in San Diego at CiscoLive ☀️ Stop by booth 2534 to catch a mini-theater session, watch a demo, and pick up some swag: red.ht/4mIW6Ki. #CiscoLive

Don’t miss our learning path covering how to create, deploy, and migrate different VMs on a single platform with #RedHat @OpenShift #Virtualization: red.ht/4jGjpSE

Smaller models, bigger results. Because #AI should blow your mind, not your budget. Keep AI within your means, with technologies from Red Hat: red.ht/42exwI7

Red Hat is preparing for the future of #SoftwareDefined vehicles by announcing the upcoming general availability of Red Hat In-Vehicle Operating System, released later this year to bring safety-certified #Linux to automotive manufacturers and suppliers. Get the news:

From "any workload, any app, anywhere" to "any model, any accelerator, any cloud." Red Hat CTO Chris Wright shares how Red Hat’s vision hasn’t changed—it’s evolved. red.ht/4ju9YW9 #RHSummit

Now available as a tech preview, Red Hat Edge Manager enables greater scalability, simplified management, and enhanced security for managing thousands of #edge devices at scale from a single console. Find out how it helps streamline #EdgeComputing: red.ht/4jXKamo

Hybrid is the reality. So how do you manage it all? In this clip, @Armon Dadgar breaks down the layers of a modern hybrid cloud operating model and how HashiCorp, IBM, and Red Hat work together to help teams: ◼️ Streamline infrastructure and app delivery ◼️ Strengthen security

Red Hat and AMD are bringing together the power of Red Hat AI with AMD’s portfolio of high-performance computing architectures to support optimized, cost-efficient, and production-ready environments for AI-enabled workloads. Read the news: red.ht/4khT5ib then stream the