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.

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 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.

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.

AMD Expands ROCm Ecosystem with ROCm-LS and hipCIM for Accelerated Life Sciences Computing

 

AMD’s new ROCm-LS toolkit and hipCIM library accelerate life science workloads on Instinct GPUs, offering CUDA compatibility & open-source alternatives for medical imaging, pathology, and AI-driven research. Explore early access now

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.

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.

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.

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.

AMD Becomes Platinum Sponsor for DebConf25: Boosting ROCm Support in Debian Linux

 

AMD joins as a platinum sponsor for DebConf25, boosting ROCm support in Debian Linux. Discover how AMD’s open-source GPU computing strategy competes with NVIDIA CUDA, challenges in Debian’s packaging, and future AI/HPC developments.

Ollama Breaks New Ground: Experimental Vulkan API Support Unlocks Broader GPU Access for LLMs

 

Ollama 0.12.6-rc0 introduces experimental Vulkan API support, expanding GPU compatibility for LLMs like Llama 3 and Gemma 3 on AMD and Intel hardware. This guide covers the technical implications for AI inferencing and machine learning workflows. 

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.

AMD ROCm 2025 Roadmap: Linux Support & GPU Acceleration Plans

 

AMD’s ROCm 2025 roadmap promises day-one Linux support for Radeon RX 9000 GPUs & Ryzen AI MAX. Discover how AMD plans to challenge NVIDIA CUDA with seamless AI/ML acceleration & enterprise-ready deployment.

PyTorch 2.10 Release: A Comprehensive Guide to GPU Acceleration, Performance Optimizations, and Deep Learning Enhancements

 

PyTorch 2.10 introduces major upgrades for Intel, AMD, and NVIDIA GPU acceleration, Python 3.14 compatibility, and advanced kernel optimizations. Explore performance benchmarks, key features, and enterprise AI implications in this detailed technical analysis. 

AMD Acquires AI Software Firm Brium to Strengthen Open-Source Ecosystem

 

AMD acquires stealth AI startup Brium, boosting its open-source compiler and AI optimization capabilities. Learn how this strategic move enhances ROCm, AI inference, and AMD’s competitive edge against NVIDIA. Full analysis inside.

Microsoft Azure Linux 3.0 Released: Optimized for NVIDIA GB200 Servers & Enhanced Security

 

Microsoft’s latest Azure Linux 3.0.20250521 update delivers critical security patches, NVIDIA Grace-Blackwell optimizations, and updated CUDA support—ideal for enterprise cloud infrastructure and AI workloads. Discover key features & downloads.

Critical NVIDIA Open Driver Update for SUSE Linux Enterprise Systems – Fixes & Installation Guide

 

SUSE Linux Enterprise users: Install the latest NVIDIA Open Driver G06 update (v570.153.02) to resolve critical issues, including RT flavor compatibility. Learn patch commands for Basesystem Module 15-SP7, Desktop, Server, and SAP Applications.

Prominent Linux Kernel Engineer Colin King Departs Intel for NVIDIA: Analyzing the Impact on Open-Source Ecosystem

 

In-depth analysis of Colin King's departure from Intel to NVIDIA and its impact on the Linux kernel ecosystem. Explore the implications for open-source GPU drivers, data center performance, and AI workload optimization on enterprise Linux systems.

NVIDIA DLSS Achieves Breakthrough on Open-Source Vulkan Driver, Pioneered by Valve Engineer

 

Valve's Autumn Ashton achieves a breakthrough in open-source graphics, enabling NVIDIA's DLSS on the Mesa NVK driver. Discover the technical implications for Linux gaming, the Vulkan extensions used, and what this means for the future of high-performance, open-source upscaling. A must-read for developers and enthusiasts.