BLOG ESPECIALIZADO NO MUNDO LINUX. Blog de Linux com vídeo aulas, notícias do mundo Linux e do Software Livre.
Critical Fedora docker-buildkit security update patches memory exhaustion vulnerabilities (CVE-2025-58183, CVE-2025-58185, CVE-2025-58188, CVE-2025-58189, CVE-2025-61723) affecting container builds. Learn to update and secure your Fedora systems now.
Wild Linker 0.7 is released, challenging Mold with superior speed on Linux. Written in Rust, this high-performance linker introduces incremental linking support and RISC-V compatibility. Explore benchmarks, new features, and download links for this next-generation compilation tool.
Explore the critical SUSE Linux maintenance update 2025-3827-1 for Multi-Linux Manager 4.3 LTS. This advisory details patched vulnerabilities, including CVSS 9.8 flaws, and provides a strategic guide for enterprise patch management and system hardening to mitigate cyber risk.
Explore the Linux multi-kernel v2 patches: a revolutionary architecture enabling multiple kernels on one machine. Dive into its KHO framework, kernfs management, and potential for superior performance, fault isolation, and real-time computing beyond containers.
Discover the critical Fedora 42 mingw-python3 security update addressing CVE-2025-CCC3E0A219. Learn about vulnerability management, cross-platform dependency risks, and enterprise Linux patch deployment strategies for enhanced system integrity.
AMD ROCm 7.0.2 is now available, delivering critical stability patches & performance enhancements for AI/ML workloads and high-performance computing (HPC). This guide explores its new features, bug fixes, and impact on GPU-accelerated deep learning frameworks like PyTorch & TensorFlow
Critical SUSE iPXE update patches vulnerabilities and enhances network boot security. This moderate-rated patch for Leap 15.5/15.6 & SLE 15 SP6/SP7 adds ECDHE cipher suites, MS-CHAPv2 auth, multiprocessor API support, and improves UEFI SAN boot. Includes patch commands.
Arm's new Lumex Platform-C1 redefines edge AI computing, merging Cortex-A and Cortex-M cores for unprecedented efficiency. Discover how this premium silicon solution tackles complex AI inference, machine learning, and computer vision workloads for next-gen IoT and industrial automation. Explore its architecture, performance benchmarks, and market implications.
Discover how Red Hat's integration of OpenCL semaphore support in Mesa's Rusticl driver revolutionizes GPU work synchronization & cross-API interoperability. Learn about performance gains for Intel Iris, RadeonSI & Zink. Meta Description:
Discover the critical details of SUSE-2025-02964-1, a moderate-severity glibc vulnerability (CVE-2025-26517). Learn about the NULL pointer dereference flaw, its impact on Linux security, and the essential patching protocol for system administrators to mitigate risks.
Meta hires Intel Linux veteran Kirill Shutemov, TDX maintainer, boosting their elite kernel team. Explore why this move matters for open source, confidential computing, & hyperscale infrastructure. Linux talent war heats up!
ZLUDA 2025 transforms non-NVIDIA GPUs into CUDA-compatible powerhouses for AI workloads. Discover how this open-source solution achieves 90%+ CUDA performance on AMD/Intel GPUs, with new Q2 features like llm.c support and automated builds. Explore benchmarks, use cases, and installation guide.
Discover how Mesa 25.2's new Shared Virtual Memory (SVM) support for RadeonSI enhances OpenCL 2.0+ performance on AMD Radeon GPUs. Learn about GPU memory coherence, Gallium3D driver updates, and high-performance computing optimizations
Discover how Rusticl's new OpenCL SVM support enhances GPU performance with Intel Iris & AMD Radeon drivers. Learn about Shared Virtual Memory benefits, technical implementation, and future developments in high-performance computing.
O NVIDIA CUDA 12.2 foi lançado hoje e, embora seja apenas uma atualização da série CUDA 12, é um lançamento bastante emocionante. A novidade mais empolgante do CUDA 12.2 para usuários do Linux é que esta pilha de computação finalmente oferece suporte à funcionalidade Heterogeneous Memory Management (HMM) do kernel Linux. O HMM permite o compartilhamento contínuo de dados entre a memória do host e os dispositivos aceleradores. Esse suporte NVIDIA CUDA 12.2 HMM depende do Kernel Linux 6.1.24+ ou Kernel Linux 6.2.11+ para ter os componentes necessários. Além disso, esse suporte HMM requer o uso do módulo de kernel aberto NVIDIA GPU Open Kernel Modules, em vez do driver proprietário do kernel.
