Share on Facebook (opens in a new window) Share on X (opens in a new window) Share on Reddit (opens in a new window) Share on Hacker News (opens in a new window) Share on Flipboard (opens in a new ...

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 ...

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 ...

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 ...

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 ...

[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 ...

AMD issued a raft of news at their Advancing AI 2025 event this week, an update on the company’s response to NVIDIA’s 90-plus percent market share dominance in the GPU and AI markets. And the company ...