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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 ...

CUDA and Tensor Cores are some of the most prominent specs on an NVIDIA GPU. These cores are the fundamental computational blocks that allow a GPU to perform a bunch of tasks such as video rendering, ...

In context: PhysX is a moderately popular middleware used to add complex, physics-based interactions to 3D graphics in games and other software applications. Originally developed by the Swiss company ...

TL;DR: NVIDIA's RTX PRO 6000 Blackwell workstation GPU series will debut at GTC 2025, featuring the GB202 GPU with 24064 CUDA cores, 96GB of GDDR7 memory, and a 600W TDP. It includes 752 Tensor Cores, ...

At its most basic level, Compute Unified Architecture (CUDA) allows general-purpose processing and other tasks to run on NVIDIA GPUs with extensive language support. Since its inception, CUDA has been ...

NVIDIA’s long-standing dominance in the AI GPU market, primarily attributed to its proprietary CUDA ecosystem, is facing new challenges as competitors develop alternative solutions to break the ...