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Graphics Processing Units (GPUs)

[ˈgræfɪks prəˈsɛsɪŋ ˈjunɪts]
AI Infrastructure
Last updated: December 9, 2024

Definition

Specialized electronic circuits originally designed for rendering graphics that excel at parallel processing tasks essential for AI computations.

Detailed Explanation

GPUs are highly parallel processors containing thousands of smaller, more efficient cores designed to handle multiple tasks simultaneously. Unlike CPUs, which are optimized for sequential serial processing, GPUs can perform thousands of identical computations in parallel, making them ideal for the matrix multiplications and vector operations common in AI and machine learning. Modern GPUs typically feature high memory bandwidth, specialized tensor cores for AI operations, and optimized floating-point computation capabilities.

Use Cases

Image and video processing for computer vision, training deep neural networks, scientific simulations, cryptocurrency mining, high-performance gaming, 3D rendering

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