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Tensor Core

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

Kernel

The core component of an operating system that manages system resources and provides services to 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.

NVMe

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

GitOps

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

cgroups

Control groups - a Linux kernel feature for limiting, accounting, and isolating resource usage of process collections.

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