CUDA

CUDA is NVIDIA's parallel computing platform and programming model for running general-purpose computations on its GPUs.

2 articles
Last mentioned

CUDA is a parallel computing platform and programming model that NVIDIA announced in 2006. It lets developers use GPUs, originally built for graphics, for general-purpose computation by writing GPU code in languages such as C and C++. CUDA runs only on NVIDIA GPUs.

NVIDIA provides libraries built on CUDA, including cuDNN for deep learning and cuBLAS for linear algebra. Major deep learning frameworks such as PyTorch and TensorFlow rely on CUDA to train and run models on NVIDIA GPUs.

This entry is based on AIPOST articles and widely known facts. If something is wrong, please send us a correction request.

Articles covering this entry

NVIDIA GeForce RTX with CUDA Middle ground Model fine-tuning and GPU developer tools

…unPod handles the container packaging rather than requiring developers to write a Dockerfile, match CUDA components, and repeatedly push large container images.


© 2026 AIPOST. All rights reserved.

AIPOST is an AI publication covering practical AI, AI security, performance, startups, health, ethics and industry news. No account is needed, and our privacy policy explains how we handle personal information.