GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

Not only has Google's Gemini 3 model been trained on the company's own TPUs, but I've been using a MacBook Pro with Apple's ...

Discover the best Lenovo LOQ laptop models designed for engineering students. Featuring powerful Intel HX/AMD Ryzen processors and NVIDIA RTX graphics, these machines handle intensive tasks like CAD, ...

The CUDA toolkit is now packaged with Rocky Linux, SUSE Linux, and Ubuntu. This will make life easier for AI developers on these Linux distros. It will also speed up AI development and deployments on ...

NVIDIA introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures. NVIDIA has unveiled 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 ...

Graphics processing units (GPUs) are traditionally designed to handle graphics computational tasks, such as image and video processing and rendering, 2D and 3D graphics, vectoring, and more.

This year, there has been a glut of fresh CPUs from AMD and Intel for desktop PCs, with both vendors launching new processor architectures and model variants of older designs. Over in the Team Red ...

A computer is a lot like an ecosystem. When all its components are functioning in a harmonious balance, a PC can whiz along at top speed, crunching calculations, booting games, and performing other ...