Parallel computing speeds up data crunching. Projects that took hours now take seconds. It's the fundamental concept that, along with advanced semiconductors, has ushered in the AI boom. Increased ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

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 ...

Amazon Web Services has just announced a new Elastic Compute Cloud (EC2) instance type, dubbed P2, which leverages NVIDIA GPUs (Graphics Processing Units) to offer customers massive amounts of compute ...

What exactly is GPU computing and what does and doesn't use it? As we saw back in December in Eyeon's informative video, GPU computing is a very powerful technique that, during the last year or two, ...

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 ...