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. 

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.

AMD ROCm 7.0 Preview: Latest HIP Runtime Updates for AI & GPU Developers

 

AMD’s latest ROCm 7.0 preview enhances HIP Runtime for CUDA compatibility—key for AI developers using AMD Instinct GPUs. Learn how HIP updates improve ML workloads and GPU acceleration. 

AMD ROCm 7.0 & HIP 7.0: Major CUDA Alignment Coming in 2025

 

AMD’s ROCm 7.0 update brings HIP 7.0 closer to CUDA, simplifying GPU programming for AI & HPC. Learn about breaking changes, early preview builds, and how to prepare for the 2025 release.

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.

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