NVIDIA's parallel computing platform that lets developers use GPUs for general-purpose computing.
NVIDIA's parallel computing platform that lets developers use GPUs for general-purpose computing. Almost all deep learning frameworks (PyTorch, TensorFlow) rely on CUDA under the hood. This dependency creates a massive moat for NVIDIA — switching to AMD or other GPUs means rewriting low-level code.
Graphics Processing Unit.
The dominant provider of AI hardware.
The most popular deep learning framework, developed by Meta.
A mathematical function applied to a neuron's output that introduces non-linearity into the network.
An optimization algorithm that combines the best parts of two other methods — AdaGrad and RMSProp.
Artificial General Intelligence.
Browse our complete glossary or subscribe to our newsletter for the latest AI news and insights.