Nvidia has updated its CUDA software platform, adding a programming model designed to simplify GPU management. Added in what the chip giant claims is its “biggest evolution” since its debut back in ...

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 ...

Key changes make GPUs easier to program, more efficient, and harder for rivals to replace. New features enhance AI development, further locking developers into Nvidia's ecosystem. Nvidia ( NVDA) had ...

Advanced Micro Devices, Inc. is working to disrupt Nvidia Corporation's dominance in the GPU market by developing an open-source alternative to CUDA. The Q4 2023 earnings report showed strong growth ...

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 ...

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 ...

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 ...

Internal Amazon documents reveal slow adoption of its in-house AI chips and show why AWS customers still want Nvidia GPUs.