Artificial intelligence (AI) workloads are transforming industries from financial services to healthcare. However, the use of AI models introduces risk around protecting models, weights, and data from malicious actors. While the industry has established robust traditional security frameworks to protect data at rest (with disk encryption, such as LUKS) and data in transit (with encrypted communication channels like TLS), a gap remains around data that's in use.When sensitive data, such as patient medical records or proprietary AI model weights are actively loaded into the CPU, GPU, and memory f
You've tried it. You've pulled a Model Context Protocol (MCP) server from a GitHub repo, wrestled it into a container, sorted out authentication yourself, and hoped it would hold up in production. That is the state of MCP adoption in the enterprise today—promising protocol, but painful deployment.Red Hat OpenShift AI 3.4, part of the Red Hat AI portfolio, takes a different approach. We're introducing the MCP catalog (now in developer preview): a curated catalog of MCP servers that you can discover, deploy, and manage directly on Red Hat OpenShift. It ships pre-loaded with MCP servers from Re
As enterprises move from the hype of generative AI to building governed, production-ready AI applications, several new challenges have emerged. Currently, many businesses route all of their prompts to massive, cloud-based LLMs, which can result in excessive costs, high latency, and unnecessary data exposure. To solve this problem, Red Hat in collaboration with NVIDIA is bringing enterprise-grade AI development directly to the developer’s desk. We are excited to announce the development preview of Red Hat Enterprise Linux 10 (RHEL 10) on NVIDIA DGX Spark. Powered by the NVIDIA GB10 Grace Blac
Over the last year, Red Hat and HashiCorp have collaborated to create integrations that bring together infrastructure automation and secrets management. Our existing Red Hat Ansible Certified Content Collections have enabled organizations to use HashiCorp Vault, HashiCorp Terraform, and Red Hat Ansible Automation Platform for infrastructure automation and secrets management.HashiCorp Vault integration for secrets managementThe Red Hat Ansible Certified Content Collection for HashiCorp Vault has enhanced how teams handle sensitive credentials in automated workflows. With version 1.0 and beyond,
As organizations continue to leverage edge computing for AI workloads running near the source of data generation, Red Hat aims to deliver the enterprise support that companies need to capture the full potential of AI operations at the edge. Following our successful technology preview, we are thrilled to announce that Red Hat Device Edge is now available on NVIDIA Jetson Orin, aligning with the release of Red Hat Enterprise Linux 9.8.During the tech preview phase, we saw tremendous interest from customers wanting to extend AI capabilities to the far edge, whether they are leveraging AI for adva
No enterprise application exists in a vacuum. Applications interact with services, other applications, external resources, databases, and more. As these applications scale, so does the complexity—more containers, more datasets, and more moving parts.At Red Hat, our view is that most developers should not need to manage containers or Kubernetes directly. The most effective approach is to focus on writing business logic and push code to production through a platform like Red Hat OpenShift, using capabilities such as Red Hat OpenShift Dev Spaces and the OpenShift application platform to handle
As AI adoption grows and agents multiply inference demands, a reliable inference foundation becomes critical to running AI initiatives profitably.Today at Red Hat Summit, we are excited to announce that Red Hat AI Inference now runs on any managed Kubernetes service. This expansion enables organizations to leverage a consistent, open inference stack and Kubernetes-native operations wherever they already run their workloads. At launch, we are delivering validated deployment blueprints on 2 platforms: CoreWeave Kubernetes Service (CKS) and Azure Kubernetes Service (AKS). With this release, Red H
Quietly sneaking out at the end of last week was Vulkan 1.4.351 as the newest spec update to this high performance graphics and compute API...
At the beginning of the month was the surprise milestone of AMD posting AMDGPU kernel driver patches for HDMI 2.1 Fixed Rate Link (FRL) support. The HDMI FRL patches have since been updated to also enable HDMI 2.1's Display Stream Compression (DSC) functionality for higher resolutions and higher refresh rates with the open-source AMDGPU driver...
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