The company trained the model using a custom AI cluster. The cluster is powered partly by Ray, an open-source tool for ...

NVIDIA has announced partnerships with several operating system providers and package managers to redistribute its CUDA parallel computing platform, aiming to simplify software deployment for ...

Nvidia is the market leader in AI chips thanks to its Hopper and Blackwell GPUs. Intel is fighting to maintain its advantage in the CPU market over Advanced Micro Devices while also trying to develop ...

NVIDIA's CUDA Toolkit 13.0 introduces innovative features like tile-based programming and unified Arm platform support, enhancing developer productivity and GPU performance. The latest iteration of ...

AI is changing so quickly that it’s not always clear how much of a security threat it poses for semiconductor design, and that uncertainty increases as AI agents are introduced into the mix. So far, ...

Shares of Nvidia (NASDAQ: NVDA) have been impacted by several factors, including increasing macroeconomic uncertainty, geopolitical tensions, ongoing tariff wars, export controls, and rising ...

Enterprises are rapidly adopting Nvidia’s Blackwell GPUs, which offer better price performance compared to its previous Hopper family. The company's popular CUDA software ecosystem provides it with a ...

CUDA enables faster AI processing by allowing simultaneous calculations, giving Nvidia a market lead. Nvidia's CUDA platform is the foundation of many GPU-accelerated applications, attracting ...

Yolohtli is a 2D cardiac electrophysiology solver developed in C/CUDA parallel programming language. The solver has many functionalities to facilitate the user experience and analysis. These include ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...