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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 ...

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 ...

Nvidia is facing serious scrutiny from regulators about its blistering rise to power and concerns over its software.

[OPINION/INSIGHT ARTICLE] The surging demand for supercomputing power, driven by the insatiable appetite of AI/ML, big data analytics, and scientific research, has driven the HPC industry to push the ...