Nvidia developed the H100 graphics processor, which became important for generative artificial intelligence.
The H100 is a data-center graphics processing unit based on Nvidia's Hopper architecture. It is designed for demanding workloads including machine learning, scientific computing, and large language model training and inference. Its use in AI infrastructure helped focus investor attention on Nvidia's role in the rapidly expanding data-center market.
Nvidia was founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem. The company originally became prominent through graphics processors for personal computers and video games. It later expanded into professional visualization, automotive computing, and accelerated data-center computing.
A GPU is different from a traditional central processing unit because it can perform many parallel calculations efficiently. Nvidia's CUDA software platform also helped developers use its hardware for general-purpose computing. The H100 is a product name, while Nvidia is the publicly traded company whose market capitalization is being measured.