cuRAND

Generative AI is taking the world by storm, from large language models (LLMs) to generative pretrained transformer (GPT) models to diffusion models. NVIDIA is...

There are three main ways to accelerate GPU applications: compiler directives, programming languages, and preprogrammed libraries. Compiler directives such as...

Rob Smallshire once said, "You can write faster code in C++, but write code faster in Python." Since its release more than a decade ago, CUDA has given C and...

The NVIDIA A100, based on the NVIDIA Ampere GPU architecture, offers a suite of exciting new features: third-generation Tensor Cores, Multi-Instance GPU (MIG)...

While GPUs were originally developed for computer graphics, they are now being used by scientists to help solve important engineering problems. The performance...

In this post, we discuss how CUDA has facilitated materials research in the Department of Chemical and Biomolecular Engineering at UC Berkeley and Lawrence...

Originally trained as a veterinary surgeon, Chris Jewell, a Senior Lecturer in Epidemiology at Lancaster Medical School in the UK became interested in epidemics...