TensorRT

A family of NVIDIA GeForce graphics processing units (GPUs) for consumer PCs and workstations, including hardware-accelerated ray tracing and AI processing through Tensor Cores. GeForce RTX GPUs are used for gaming, rendering, scientific and parallel computing, and workloads such as physical simulation and robotics development.

CUDA is a parallel computing platform and programming model developed by NVIDIA that enables general-purpose computing on NVIDIA GPUs. It includes the CUDA Toolkit (compilers, libraries, and developer tools) and APIs for C, C++ and Fortran to accelerate compute-intensive applications in areas such as scientific computing, HPC, graphics, and machine learning.

NVIDIA GPUs are a family of graphics processing units produced by NVIDIA Corporation, intended for graphics rendering, high-performance computing, and hardware acceleration of workloads such as machine learning and scientific computing. Major product lines include GeForce for consumer gaming, RTX A (formerly Quadro) for professional visualization, and data-center GPUs (e.g., A100, H100) for AI training and inference.

Tensor Processing Unit (TPU) is a family of application-specific integrated circuits (ASICs) and managed services developed and operated by Google to accelerate machine learning workloads. TPUs are available as on-premises hardware and as a managed Cloud TPU service for training and inference of neural networks and deep learning models. First announced in 2016, TPUs are used inside Google's datacenters and offered to external customers via Google Cloud.