Acceleration on English AI Terms Dictionary

Hardware for artificial intelligence

Sat, 18 Jul 2026 10:00:43 +0000

Definition

AI hardware refers to specialized computing devices optimized for the massive parallel processing required by machine learning workloads. This includes Graphics Processing Units (GPUs) for general parallel computation, Tensor Processing Units (TPUs) for matrix operations, and Field-Programmable Gate Arrays (FPGAs) for customizable acceleration. These components address the bottlenecks of traditional CPUs by providing higher throughput for floating-point arithmetic and memory bandwidth, enabling faster training of deep learning models and lower-latency inference in real-time applications, thus driving the scalability of modern AI systems.

Graphics processing unit

Sat, 18 Jul 2026 10:00:30 +0000

Definition

A GPU is a high-performance processor originally developed for handling graphics rendering tasks. Unlike CPUs, which have few cores optimized for sequential serial processing, GPUs contain thousands of smaller, efficient cores designed for massive parallelism. This architecture makes them ideal for the matrix multiplications and tensor operations fundamental to deep learning, significantly accelerating training and inference times for AI models compared to traditional central processing units.

Summary

A specialized electronic circuit initially designed for rapid image manipulation and rendering, now widely used for parallel computing in AI.

Circuit

Sat, 18 Jul 2026 09:49:31 +0000

Definition

In the context of AI, a circuit typically denotes the underlying hardware architecture such as GPUs, TPUs, or neuromorphic chips designed to accelerate matrix operations and parallel processing. These circuits form the foundational layer upon which software models run, determining throughput, energy efficiency, and latency. Modern AI circuits are increasingly specialized, featuring tensor cores or spiking neuron emulators to optimize specific mathematical workloads inherent in deep learning algorithms.

Summary

A circuit refers to the physical hardware infrastructure, including chips and interconnects, that executes computational tasks.