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sábado, 9 de maio de 2026

How to Write CUDA Kernels in Pure Rust Without the Unsafe Headaches

Write NVIDIA CUDA kernels in pure Rust without unsafe FFI or C++ bindings. Learn how the experimental CUDA-Oxide compiler emits PTX directly from safe(ish) Rust code.

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.

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

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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 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.

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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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.

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

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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.

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

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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.

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 10 está adicionando o nvJPEG, suporte ao Turing

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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

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.