The first CVE vulnerability has been assigned to a piece of the Linux kernel's Rust code...
Ahead of AMD releasing their Zen 6 EPYC and Ryzen processors in 2026, AMD today saw their Zen 6 "znver6" support land into the GCC 16 open-source compiler...
Intel this week released their last planned feature update to their open-source Compute Runtime for 2025. The Intel Compute Runtime 25.48.36300.8 delivers the latest OpenCL and Level Zero performance optimizations, Xe3 workarounds, and other fixes for those on Intel integrated and discrete graphics hardware...
If you are not satisfied with the current performance for PyTorch or ComfyUI / Stable Diffusion on your Strix Halo APU system or with other consumer RDNA3/RDNA4 Radeon consumer GPUs, AMD engineers are interested in your logs to help better optimize the performance going forward...
Version 1.6 of libopus as the library for the open-source Opus audio codec is now available. Opus 1.6 brings new machine learning "ML" based features in building atop the machine learning features initially added to Opus 1.5...
The open source AI ecosystem has matured quickly, and many developers start by using tools such as Ollama or LM Studio to run large language models (LLMs) on their laptops. This works well for quickly testing out a model and prototyping, but things become complicated when you need to manage dependencies, support different accelerators, or move workloads to Kubernetes.Thankfully, just as containers solved development problems like portability and environment isolation for applications, the same applies to AI models too! RamaLama is an open source project that makes running AI models in containe
This series takes a look at the people and planning that went into building and releasing Red Hat Enterprise Linux 10. From the earliest conceptual stages to the launch at Red Hat Summit 2025, we’ll hear firsthand accounts of how RHEL 10 came into being.Part 1 | Part 2 | Part 3In our previous installment of the story of how Red Hat Enterprise Linux (RHEL) 10 came to be, we got insights into the testing process and how the headline features (and the stories around those features) started coming together. In part 4, those stories come into clearer focus as the team works to put the finishing t
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