NVIDIA

学習と推論の計算資源を支える半導体・ソフト企業

アメリカ合衆国チップと計算資源混合

本ページの本文は英語で提供されています。タイトルと導入は日本語化されています。

これは何か

NVIDIA was founded in 1993 and started with graphics processors. Its GPUs and the CUDA software stack became the de facto standard for deep-learning training, and accelerators such as the H100 and B200 are the main hardware for training large models. It also provides tools like NeMo for training and deployment.

なぜ重要なのか

CUDA brought general-purpose computing to the GPU, letting deep learning scale on one consistent software and hardware stack — an ecosystem that has kept it effectively irreplaceable in compute supply.