Graphics Processing Unit (GPU): Types and Applications Introduction What is a Graphics Processing Unit (GPU)? A Graphics Processing Unit, or GPU, is a special processor. It enhances the rendering ...

India, a mega generator of digital data, is set to enhance its computational capabilities significantly by procuring 10,000 graphics processing units (GPUs) within the next 18 months, informed the ...

Nvidia has released a new computing architecture that allows developers to perform numerical computation on the company’s graphics processing units instead of relying on standard processors. The ...

GPU: A graphics processing unit that offers massively parallel computing, originally designed for rendering images but now widely used for scientific and engineering computations.

Graphics Processing Units (GPUs) have emerged as a transformative technology in this arena, offering unprecedented parallelism and accelerated memory handling that can overcome traditional ...

These include neural processing units (NPUs), which are often compared to graphics processing units (GPUs) in terms of their ability to accelerate AI tasks.

Curious about what an NPU (neural processing unit) is and what it does? Here's the lowdown, including how it stacks up against other processors and why it's becoming a game-changer.

We look at Google’s TPUs – tensor processing units – and ask what makes them different to CPUs, GPUs and DPUs, as well as how you can take advantage of them in AI processing.

If you’re buying a new GPU (graphics processing unit), you should definitely have an understanding of how it all works. Although the terms GPU and graphics card are often used interchangeably ...