IBM and Red Hat announced that Lightwell has remediated more than 400 previously unknown vulnerabilities across widely used Java libraries, coinciding with the general availability of Lightwell Clearinghouse for customers to submit specific open source software vulnerabilities for priority review and fixes.

GitHub-hosted larger runners now support Red Hat Enterprise Linux (RHEL) 9 and RHEL 10 images in public preview, introduced in partnership with Red Hat. Organizations can use these RHEL images…

Learn about the goose AI agent, now available in the Red Hat Enterprise Linux (RHEL) extensions repository for RHEL 9.8 and RHEL 10.2. This open source AI agent can be used with the Model Context Protocol (MCP) server for RHEL to unlock new use cases for AI-assisted administration, providing context-aware system troubleshooting. Get started with the goose-redhat package today.

AI made you faster. But you’re not more productive; you’re outsourcing the slow part to everyone else

Users can deploy vLLM on a variety of hardware with a simple command. But a lot of work goes on below the surface to make the magic happen

Discover the financial benefits and return on investment (ROI) experienced by customers using Red Hat AI. Learn how organizations turned infrastructure challenges into measurable financial gains with a 3-year ROI of 233% and a 13-month payback period.

Red Hat AI posted top MLPerf Inference v6.0 scores on Whisper, Qwen3-VL, and GPT-OSS-120B using vLLM, llm-d, and OpenShift AI across NVIDIA and AMD GPUs.

We're excited to announce the general availability (GA) of the Red Hat build of Podman Desktop. This release is a direct response to the many requests from our customers who want to harness the massive momentum of the Podman Desktop community which recently celebrated over 3 million downloads.

You're using AI to be more productive. So why are you more exhausted than ever? The paradox every engineer needs to confront.

Learn how Red Hat Ansible Automation Platform's automation dashboard and analytics help turn operational metrics into a clear, auditable business case for expansion, providing on-premise visibility, cloud-based insights, and advanced reporting.

Learn how Red Hat OpenShift AI 3 enhances the controlled network environment for Ray Clusters, providing a production-ready environment for complex AI workloads with robust security. Discover the 3 pillars of the controlled network environment: network isolation, authenticated backend (mTLS), and controlled access.

Project Hummingbird is an early access program for Red Hat subscription customers, providing a catalog of minimal, hardened container images.

Red Hat Enterprise Linux 10.1 introduces an offline, locally available command-line assistant for enhanced security in disconnected environments, offering AI-powered guidance for various RHEL tasks. This update includes increased context limits for the assistant, vendor-validated AI accelerator drivers, and new systemd capabilities for soft-reboots, reducing downtime and enhancing system agility. Additionally, RHEL 10.1 features updated developer toolsets, including new versions of programming languages and services, and advancements in post-quantum cryptography and cloud security, ensuring a more secure and efficient computing environment.

Red Hat AI | 3 | Red Hat Documentation

KServe, the leading standardized AI inference platform on Kubernetes, has been accepted as an incubating project by the Cloud Native Computing Foundation (CNCF).

UTCP is available in multiple languages - see Python, TypeScript, Go, and other implementations in the UTCP GitHub organization.

Explore the legal and cultural issues surrounding AI-assisted development in open source communities. Learn about attribution, copyright, licensing, and the DCO in this comprehensive guide.

Red Hat Brings Distributed AI Inference to Production AI Workloads with Red Hat AI 3

Learn how Red Hat OpenShift AI's ISO 42001 certification reinforces Red Hat's leadership in responsible AI, providing enhanced customer data protection, industry standard alignment, and platform maturity.

erys: Terminal Interface for Jupyter Notebooks. Contribute to natibek/erys development by creating an account on GitHub.

Tools and open datasets to support, sustain, and secure critical digital infrastructure

Red Hat OpenShift AI version 2.21 and later versions are now designed for Federal Information Processing Standards (FIPS).

Most recent updates from several AI/ML model inference communities that our team at Red Hat AI is contributing to.

The New Skill in AI Is Not Prompting, It''s Context Engineering (www.philschmid.de) 04:53  ↑ 152 HN Points