Qt 6.11 Beta 1 is out on-schedule with the code having entered its feature freeze and code branching earlier this month. This toolkit is working toward the stable Qt 6.11 stable debut in March...
Intel ISPC 1.29 released on Wednesday as the newest feature update to this Implicit SPMD Program Compiler as a C variant able to target Intel hardware from their CPUs to GPUs for SIMD programming...
AMD Ryzen AI Max+ "Strix Halo" is beautifully awesome. Probably my favorite hardware of 2025 whether it's in desktop form with the likes of the Framework Desktop or for very powerful laptops between the Zen 5 CPU cores and very capable Radeon 8060S Graphics within devices like the HP ZBook Ultra G1a. If you are interested by Strix Halo too and looking for a way to obtain one without the high price, AMD is running a holiday special of those contributing PyTorch and vLLM ROCm bug fixes for Strix Halo laptops...
Announced one year ago was KDE Internet of Things "Kiot" with an emphasis on providing nice integration between the KDE Plasma desktop and Home Assistant for handling open-source home automation. Development on Kiot sadly fell through the cracks for most of the year but development on it recently restarted...
Intel's Video Processing Library "libvpl" is out with a new version ahead of the holidays. The only major change with libvpl 2.16 is adding experimental APIs for AI-assisted video encode functionality...
Red Hat Enterprise Linux 10.1 (RHEL) features some significant updates to RPM and DNF, two technologies designed to help you manage software installs and updates. The RPM package manager (RPM) creates installation files used to install and uninstall an application, and that can be queried for information about what libraries and binaries the application contains. The dnf command is the tool used on RHEL to search for available applications, and then to install, update, or uninstall them. These are important components of a computer system, so we've worked hard to improve them.RPM signature imp
Imagine that after 60 hours of training, a large language model (LLM) on an 8x NVIDIA H100 GPU cluster costing $55 an hour, your job fails at 90% completion. You must restart from your last checkpoint, which was saved 3 hours ago, wasting $165 in compute costs, and delaying model deployment. This kind of scenario isn't hypothetical, it's a daily reality for organizations running distributed AI training workloads in production environments. LLM training represents one of the most compute-intensive workloads in modern AI infrastructure. With GPU clusters costing thousands of dollars and training
The final quarter of the year is marked by accelerated innovation. Red Hat is leading the way by integrating AI into management, fortifying our security foundations, and readying your infrastructure for both present and future demands like quantum computing and highly scaled virtualization. This month brought significant platform updates across Red Hat Enterprise Linux (RHEL) and Red Hat OpenShift, along with key insights from our performance engineering teams. The following articles provide the essential technical and strategic information you need to make the most of your hybrid cloud journe
A lot of teams we work with are juggling 2 worlds at once: the Red Hat OpenShift projects that keep accelerating, and the previous hypervisor platforms or physical infrastructure that need to be kept to run the traffic management and security policies of the BIG-IP appliances.This gets the job done, but nobody enjoys maintaining 2 sets of infrastructure with 2 different lifecycles. It’s a tax we all pay because there hasn’t been a clean alternative.Now there is.F5 BIG-IP Virtual Edition (VE) is officially validated by F5 to support Red Hat OpenShift Virtualization and listed in the Red Hat
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