- Privacy Policy
- Our Service Commitment
- Red Hat Delivers Accessible, Open Source Generative AI Innovation with Red Hat Enterprise Linux AI
- Is Red Hat OpenShift Container Platform Virtualization the Best Alternative to VMware Amid Rising Costs?
- Top 10 Stories About Compute Engines, Linux of 2024 (So Far) - ITPro Today
UR Solutions News
Open-source News
New 01Flip Ransomware Targets Both Windows and Linux Systems - GBHackers News
New 01Flip Ransomware Targets Both Windows and Linux Systems GBHackers News
Linux 6.19 Networking Delivers 4x Improvement For Heavy Transfer Workloads, New Hardware
The big set of networking subsystem updates was recently merged for the ongoing Linux 6.19 merge window. There are some enticing core networking improvements like a big performance improvement for heavy transfer workloads, Bluetooth PAST enablement, and more. Plus a lot of wired and wireless networking driver activity and new hardware enablement...
Intel's Vulkan Linux Driver Merges Shader VMA Allocator For Ray-Tracing Capture/Replay
Merged today to the Intel open-source "ANV" Vulkan driver in Mesa 26.0 is introducing a shader VMA allocator. Long story short this new allocator steps toward enabling Vulkan ray-tracing capture/replay support, which can come in hand for debugging issues with Vulkan ray-tracing on Intel graphics hardware under Linux and similarly to assist in optimizing for better performance...
Solving the scaling challenge: 3 proven strategies for your AI infrastructure
Every team that starts experimenting with generative AI (gen AI) eventually runs into the same wall: scaling it. Running 1 or 2 models is simple enough. Running dozens, supporting hundreds of users, and keeping GPU costs under control, is something else entirely.Teams often find themselves juggling hardware requests, managing multiple versions of the same model, and trying to deliver performance that actually holds up in production. These are the same kinds of infrastructure and operations challenges we have seen in other workloads, but now applied to AI systems that demand far more resources
Introducing the Red Hat Ansible Lightspeed intelligent assistant
NOTE: This blog has been updated to announce support for additional supported third-party model providers for the Red Hat Ansible Lightspeed intelligent assistant. Additional testing and validation of new model providers is ongoing. For the most recent list of supported model providers, please refer to Red Hat's official documentation. Earlier this year, we released the Red Hat Ansible Lightspeed intelligent assistant, a generative AI service which delivers an intuitive chat assistant embedded within Ansible Automation Platform. The Ansible Lightspeed intelligent assistant is like having an An
From incident responder to security steward: My journey to understanding Red Hat's open approach to vulnerability management
For years, my career in cybersecurity was defined by a sense of urgency and criticality. As a leader of incident response teams, I lived on the front lines, constantly reacting to the latest software vulnerabilities, cyberattacks, and anomalies. My days were a blur of alerts, patch deployments, and the relentless pressure to mitigate risk and restore operations. It was a challenging, high-stakes environment where every vulnerability felt like a direct threat.Now, I've traded the immediate firefight for a more proactive battlefield as a manager within Red Hat Product Security. This has given me