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Specialized processing units in NVIDIA GPUs designed for matrix operations common in deep learning.

Tensor Cores perform mixed-precision matrix multiply-and-accumulate calculations in a single operation. They provide significant speedups for deep learning training and inference. Found in NVIDIA's Volta, Turing, Ampere, and Hopper architectures.

Explore More Terms

NVMe

Non-Volatile Memory Express - a specification for accessing solid-state storage over PCIe.

CUDA

NVIDIA's parallel computing platform and programming model for general computing on GPUs.

GitOps

An operational framework that uses Git repositories as the single source of truth for infrastructure and application configurations.

Kubernetes

An open-source container orchestration platform for automating deployment, scaling, and management of containerized applications.

RDMA

Remote Direct Memory Access - a technology that allows direct memory access between computers without involving the CPU.

Qubit

The fundamental unit of quantum information, analogous to a classical bit but capable of existing in superposition states.