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Running LLMs dynamically, in production, on limited resources, is hard. We think there’s room for another approach…
The promise of large language models (LLMs) is clear. From code generation to customer support, from document analysis to creative workflows, organizations everywhere are racing to integrate LLMs into their products and operations. The enterprise LLM market is projected to grow from $6 billion in 2025 to over $50 billion by 2035. But behind the excitement lies a practical challenge—serving LLMs in production can be expensive, inefficient, and operationally complex.The production scale challengesInference cost is the real billThere's a common misconception that training is where most of the m
Red Hat and NVIDIA: Setting standards for high-performance AI inference
Red Hat is proud to announce industry-leading results from the latest MLPerf Inference v6.0 benchmarks, achieved through deep engineering co-design with NVIDIA. These results demonstrate that when you combine Red Hat’s open-source leadership with NVIDIA’s leading AI infrastructure, the result is a versatile, proven platform ready for any enterprise inference workload—from vision and speech to complex reasoning.Our latest submissions focused on maximizing the potential of the NVIDIA HGX H200 and NVIDIA HGX B200 systems, proving that software optimization is just as critical as raw horsepo
Enabling long-term stability: Introducing Red Hat Enterprise Linux Extended Life Cycle, Premium
For organizations managing mission-critical workloads, long-term stability and predictability are not just preferences—they are necessities. Recognizing this need, Red Hat is proud to introduce Red Hat Enterprise Linux (RHEL) Extended Life Cycle, Premium, a new, stand-alone offering designed to provide easily consumable, significantly longer life cycles for your most vital systems.This premium offering builds upon the solid foundation of the RHEL Premium subscription, extending maintenance beyond the traditional ten year timeline. It is an indispensable solution for highly regulated industri
Automating the modern network: A Q1 network automation recap
As the first quarter of 2026 comes to a close, we have seen a shift in the role of network automation. It's no longer a "nice to have" and instead is a critical support for AI-driven workloads, edge computing, and hybrid cloud environments. For network operations (NetOps) teams, there has been a transition from managing individual devices to orchestrating entire service delivery frameworks.The momentum we've seen this past quarter highlights that Red Hat Ansible Automation Platform is the standard trusted execution layer for this transformation. Organizations are moving away from isolated team
Fedora Rejects Proposal To Use systemd For Managing Per-User Environment Variables
The Fedora Engineering and Steering Committee "FESCo" this week rejected a change proposal for Fedora 45 that would use systemd's environment generator functionality for managing per-user environment variables...
NVIDIA Provides Preview Driver With DRM Color Pipeline API Support
Following the DRM Color Pipeline API making it into the Linux 6.19 kernel, NVIDIA today released a preview Linux driver with their support for the DRM per-plane color pipeline API that will benefit the broader Linux/Wayland desktop HDR ambitions...
Cloudflare Announces EmDash As Open-Source "Spiritual Successor" To WordPress
Cloudflare continues to be full of open-source surprises. Today Cloudflare announced EmDash as an open-source "spiritual successor" to WordPress with an emphasis on better security...
HarfBuzz 14.0 Released With New GPU Accelerated Text Rendering Library
HarfBuzz is the open-source text shaping engine originally born out of the FreeType project and now widely-used by GNOME, KDE, Java, Flutter, Godot, Chromium, LibreOffice, and countless other applications. HarfBuzz 14.0 released today and making this release quite exciting is introducing a GPU-accelerated text rendering library...