Nvidia has placed Warp under an Apache 2 license. The Python framework is used for performance-hungry physical simulations, data generation and spatial computing. It compiles Python functions just in ...

NVIDIA today announced a GPU-acceleration platform for data science and machine learning, with broad adoption from industry leaders, that enables even the largest companies to analyze massive amounts ...

Nvidia earlier this month unveiled CUDA Tile, a programming model designed to make it easier to write and manage programs for GPUs across large datasets, part of what the chip giant claimed was its ...

TL;DR: NVIDIA CUDA 13.1 introduces the largest update in two decades, featuring CUDA Tile programming to simplify AI development on Blackwell GPUs. By abstracting tensor core operations and automating ...

Collaboration accelerates quantum simulations by orders of magnitude, expanding global access to hybrid quantum computing and advancing the path toward industrial-scale quantum systems GPU-Accelerated ...

The latest version of the multiphysics simulation software introduces GPU acceleration through NVIDIA's CUDA® direct sparse solver, the Granular Flow Module and time-explicit structural dynamic ...

Windows Subsystem for Linux (WSL) has gradually become one of Microsoft’s key bridges for developers, data scientists, and power users who need Linux compatibility without leaving the Windows ...

NVIDIA today announced that the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU is coming to enterprise servers, “speeding the shift from traditional CPU systems to accelerated computing platforms,” ...

Why it matters: Nvidia introduced CUDA in 2006 as a proprietary API and software layer that eventually became the key to unlocking the immense parallel computing power of GPUs. CUDA plays a major role ...

The RTX Pro 4000 SFF and RTX Pro 2000 deliver Blackwell-based AI acceleration, advanced ray tracing, and improved energy efficiency. Nvidia announced two new professional GPUs, the RTX Pro 4000 Small ...