NVIDIA Research

NVIDIA Research explores challenging topics on the frontiers of visual, parallel, and mobile computing. Our current work spans many domains including computer graphics, physical simulation, scientific computing, computational photography, programming languages, circuit design, and computer architecture. We support advances in these fields through collaboration with academic and industrial research institutions, and disseminate results in technical conferences, journals, and other academic venues.

Latest News

We’ll select students from around the world to receive grants of $25,000 each for research that advances parallel computing. Besides funding, they’ll get access to NVIDIA technology and programming talent.

Lorena Barba, CUDA Fellow and Associate Professor at George Washington University, will be teaching a numerical methods course at GW that will be connected with three other courses around the world. More info.

The amount of data in the world is growing exponentially. Hard-drive and cloud storage capacity is on a similar trajectory. Internet speeds keep increasing.

Syndicate content