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GPU

GPU : The Brain of Visual Computing

A GPU (Graphics Processing Unit) is a specially configured processing unit for the graphics and 3D content. Originally designed to process intense graphics calculations for games and visual applications, today GPUs are powerful accelerators that can calculate much more than just simple 3D rendering.

Key Functions of a GPU:

Rendering Graphics: A GPU processes millions of pixels & textures per second to produce visuals (in games, movies, user interfaces etc)

Rather, a core i9 will have to process all the threads sequentially since that is how CPUs are designed but gpus can handle thousands of operations at one time making them perfect for rendering and scientific computations.

AI & Machine Learning: Given the computational power they pack Modern GPUs are widely used in AI training neural networks.

Popular GPU Brands:

Known brands: GeForce series for gaming and Quadro for professional workstations by NVIDIA.

AMD: Radeon series, designed for gaming and creative applications; Radeon Pro series — designed for professional workstation products.

Uses of GPUs:

Gaming and multimedia

3D modeling and animation

Video editing and rendering

Scientific simulations

Artificial Intelligence and Deep Learning

Importance:

A high CPU offers you better performance and potential for productivity, and a robust GPU will help in unlocking the best visual fidelity in gaming and creative work, as well as earlier steps into AI and Data Science.

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