NVIDIA CUDA 13.2 and AlmaLinux: A New Epoch for Enterprise GPU Computing

 

Discover how NVIDIA CUDA 13.2 redefines GPU computing with official AlmaLinux support and direct repository integration. Explore new PTX features, spin-wait dispatch for reduced latency, and NVCC C++20 enhancements. A comprehensive analysis of the enterprise Linux ecosystem shift and performance benchmarks for developers and data scientists.

NVIDIA CUDA 12.9 Released: Key Features, Deprecation Warnings & Upgrade Guide

 

NVIDIA CUDA 12.9 introduces SM 10.3 & 12.1 support, enhanced NVML counters, and stricter deprecation for Maxwell/Pascal/Volta GPUs. Discover performance gains, upgrade paths, and Linux driver insights for high-efficiency GPU computing.

Red Hat and NVIDIA Forge Deeper Alliance: Integrating CUDA to Power the Enterprise AI Revolution

 

Red Hat and NVIDIA deepen their alliance to integrate the CUDA Toolkit directly into RHEL, OpenShift, and Red Hat AI. This strategic collaboration simplifies enterprise AI deployment, boosts developer productivity, and addresses open-source concerns while fueling the next wave of hybrid cloud innovation. Discover the future of scalable AI infrastructure.

Ubuntu Revolutionizes AI Development: Native CUDA Support Arrives in Repositories

 

Canonical & NVIDIA partner to integrate CUDA into Ubuntu's repositories, simplifying AI development. Explore the impact on ML workflows, Ubuntu's edge, and how it compares to AMD ROCm. Unlock faster GPU computing. 

NVIDIA's Strategic Move: CUDA Tile IR Goes Open-Source Under Apache 2.0

 

 NVIDIA open-sources CUDA Tile IR, an MLIR-based compiler infrastructure for GPU kernel optimization. Explore the technical implications for AMD, Intel, & AI accelerators, its impact on cross-vendor portability like ZLUDA, and why this 2026 roadmap shift matters for developers. Full analysis inside.

CLUDA: Mesa's Gallium3D Implementation on NVIDIA CUDA API Explained

 

Discover CLUDA: Mesa's groundbreaking compute driver that implements the Gallium3D API atop NVIDIA's CUDA. This analysis covers its OpenCL performance, NIR-to-PTX compilation, and potential to disrupt GPU computing. Learn how it achieves near-native performance on RTX hardware.

NVIDIA Expands CUDA Support to RISC-V: A Game-Changer for Data Centers and HPC

 

NVIDIA confirms CUDA support for RISC-V processors, a major leap for AI and data centers. Learn how this impacts AMD ROCm, cloud computing, and the future of parallel processing in our in-depth analysis.

Saiba como fazer a instalação do Nvidia CUDA no Ubuntu e nos seus derivados

Vamos aprender hoje a fazer a instalação do Nvidia CUDA Toolkit no Ubuntu e nos seus derivados, e isso é bem mais simples do que você imagina

A NVIDIA CUDA 12.2 foi lançada com o suporte para o HMM no Linux

 

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.

Burn Deep Learning Framework: Rust-Based Open-Source Solution Rivals NVIDIA CUDA Performance

 

Discover how Burn, the Rust-based open-source deep learning framework, outperforms NVIDIA CUDA cuBLAS in matrix multiplication benchmarks. Cross-platform, efficient, and free—explore the future of AI development with Burn.

A NVIDIA CUDA 11.7 traz o carregamento lento, compatibilidade de driver de kernel de GPU aberta

 

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NVIDIA Driver Security Hardening for SUSE Linux Enterprise: Critical Kernel-Module Update (CVE-2026-0456) Delivers Production-Stable 580.126.09

 

NVIDIA-SUSE security update 580.126.09 fixes critical GPU kernel flaws. Verified patch commands, CUDA implications, and enterprise strategies for SLE 15 SP5. Essential for Linux admins.

O CUDA-Python atinge o "GA" com a versão do NVIDIA CUDA 11.5, visualização __int128

 

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ZLUDA 2025: The Multi-Vendor CUDA Solution Revolutionizing AI Workloads on Non-NVIDIA GPUs

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.

O NVIDIA CUDA 11.3 foi lançado - apresenta um melhor suporte para o Python

 

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Critical NVIDIA Driver Update for SUSE Linux Enterprise: Addressing Kernel-Level Vulnerabilities in CUDA and Open GPU Kernel Modules (CVE 2026-0456)

 

SUSE drops critical NVIDIA driver updates (version 580.126.09) for Leap 15.5 and SLES 15 SP5. Patch bsc#1254801 and bsc#1255858 immediately. We break down the kernel module fixes, deployment commands, and why this matters for enterprise AI/ML pipelines operating under FedRAMP and HIPAA compliance.

Critical NVIDIA Open Driver G06 Update: Enhance Stability & Compatibility on SUSE Systems

 

Critical NVIDIA Open Driver G06 Update (v570.172.08) for SUSE Linux 15 SP6/SP7 systems. Fixes PCI ID conflicts, autoselection issues, and enhances cloud compatibility. Install now for optimized GPU performance and security. Patch instructions included.

Tinygrad Integrates Mesa NIR, Unlocking Open-Source AI for NVIDIA GPUs

 

Tinygrad's new Mesa NIR back-end unlocks open-source AI on NVIDIA GPUs via the NVK driver, bypassing proprietary toolchains. Explore this breakthrough for high-performance, free-software deep learning, its performance metrics, and how it reshapes GPU computing.

A NVIDIA anuncia o projeto Open Source CV-CUDA

 

Juntamente com a estreia da série GeForce RTX 40 e muitos outros anúncios do dia 20 durante a palestra NVIDIA GTC 2022 de Jensen Huang, o CV-CUDA foi anunciado como o mais novo projeto de código aberto da NVIDIA.

O NVIDIA CUDA 11.1 foi lançado com o suporte ao RTX 30 Series, e uma melhor compatibilidade entre as versões

 

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