Traditionally, powerful graphics processors have been useful mostly to gamers looking for realistic experiences along with engineers and creatives needing 3D modeling functionality. From spending a ...

Every computing device relies on a processor, much like the human heart powers the body. Over the years, computing needs have evolved, leading to specialised processors like Central Processing Units ...

AMD's new FireStream high-performance chip package uses parallelism technology, commonly found in graphics processors, and applies it to general-purpose computing AMD is introducing a high-performance ...

In January we gave NVIDIA’s CUDA (Compute Unified Device Architecture) software tools that allows C programmers to use multiple high-performance GPU cards to perform massively parallel computations ...

The difference between a CPU (Central Processing Unit) and a GPU (Graphics Processing Unit) primarily lies in their design and functionality. CPUs are designed to handle a wide range of computing ...

Compute Unified Device Architecture, or CUDA, is a software platform for doing big parallel calculation tasks on NVIDIA GPUs. It’s been a big part of the push to use GPUs for general purpose computing ...

Nvidia has posted a 154% increase in revenue for its datacentre business in the second quarter of 2025, compared with the same period a year ago, generating $26.3bn. Overall, the company posted what ...

Every few years or so, a development in computing results in a sea change and a need for specialized workers to take advantage of the new technology. Whether that’s COBOL in the 60s and 70s, HTML in ...

Thirty years ago, CPUs and other specialized processors handled virtually all computation tasks. The graphics cards of that era helped to speed up the drawing of 2D shapes in Windows and applications, ...