Nvidia developed the H100 graphics processor, a flagship product for generative-AI computing.
The H100 is based on Nvidia’s Hopper architecture and is designed for data-center workloads such as training and running large artificial-intelligence models. It uses specialized tensor-processing hardware and high-bandwidth memory to accelerate matrix calculations, which are central to modern machine learning.
Nvidia began in 1993 as a company focused on graphics processing for personal computers. Its CUDA software platform, introduced in 2006, allowed developers to use Nvidia GPUs for general-purpose parallel computing. That software ecosystem later became a major advantage in AI research and commercial computing.
The H100 is not a consumer graphics card in the usual gaming sense. It is an enterprise accelerator used in servers and cloud data centers. Nvidia’s rapid growth in AI hardware demand made it one of the world’s largest companies by market capitalization, although its exact ranking changes with daily market prices.