Parallel computing is the fundamental concept that, along with advanced semiconductors, has ushered in the generative-AI boom.

CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on its own GPUs (graphics processing units).

What is CUDA programming, exactly? According to Nvidia, CUDA is a parallel computing platform and programming model that enables developers to write code and build applications on Nvidia's GPUs.

Unlike CPUs, GPUs contain thousands of small cores that can process multiple tasks simultaneously, making them highly efficient for parallel computing.

Graphics Processing Units (GPUs) are now pivotal in high-performance computing, offering substantial computational throughput through inherently parallel architectures. Modern research in GPU ...

GPUs are versatile and excel in handling graphics rendering and parallel tasks, while CPUs (Central Processing Units) are the general-purpose brains of a computer, handling a wide range of tasks.

Parallel file systems can uniquely address the explosive demand for performance-hungry GPU- and DPU-based environments to process enormous amounts of AI data from diverse sources ranging from ...

AWS announces P2 instances, a new GPU instance type for Amazon EC2 designed for artificial intelligence, high-performance computing and big data proce ...