What is GPU?
Graphics Processing Unit
A special processing unit that solves heavy mathematical loads such as artificial intelligence and graphics processing very quickly by dividing them into parts at the same time.
Overview
If your normal processor (CPU) is like a professor taking turns doing a task, a GPU is like an army with thousands of tiny processors. It can simultaneously perform millions of multiplication operations required when training artificial intelligence models or processing big data. In this way, complex artificial intelligence models can be trained in reasonable times.
How it works
Developers mark the heavy parts of their code with special libraries to run on the GPU. The graphics card in your computer is actually a GPU, and the world of artificial intelligence uses this power to create images in games and to perform calculations.
Where it is used
It is used when training artificial intelligence models, processing large data sets, and when high performance is required in modern games.
Commonly confused with
It is confused with the CPU; The CPU is great for general tasks, while the GPU is specialized only for huge mathematical loads.
Frequently asked questions
Why is GPU essential for artificial intelligence?
Because AI models require billions of matrix multiplications, and doing this with a CPU can take days.
Are all graphics cards GPUs?
Yes, but those used for AI are usually professional models equipped with more memory and dedicated cores.
Related terms
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This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →