GPU is the essentical hardware component supporting mordern AI technology. What is GPU? How does it work? Can it replace CPU?... All question can be found in the following article All About GPU. Here is the summary as follows.

What are GPUs

GPUs (Graphics Processing Units) are specialized processors designed for handling complex and parallel computations.

They're distinct from CPUs (Central Processing Units), which are general-purpose processors optimized for a wide range of tasks.

History of GPUs

Originating in the late 1990s, early GPUs were mainly for gaming and entertainment, evolving to support programmable shaders by the early 2000s.

Introduction of General-Purpose Graphics Processing Units (GPGPUs) in the mid-2000s expanded GPU usage to scientific research and non-graphics applications.

How GPUs Work

GPUs are highly parallel processors with thousands of cores, optimized for simultaneous calculations.

Utilizes specialized memory architectures for high bandwidth and low latency to process large amounts of data quickly.

Common GPU Components and Structures

GPUs consist of Graphics Processing Clusters (GPCs), Streaming Multiprocessors (SMs), and CUDA cores, interconnected with a memory subsystem.

Specialized processing units handle tasks like ray tracing, machine learning, and more.

Applications of GPUs

Gaming, scientific research, machine learning, cryptocurrency mining, and virtual/augmented reality benefit from GPU acceleration.

GPU Prices and Resale Value

GPUs can be relatively expensive compared to other computer components due to their critical role in performance.

Resale value depends on factors like model, condition, and market demand, with high-end GPUs retaining value better.

Concept Clarifications

Differentiates between GPU, graphics card/video card, integrated GPU, and discrete GPU.

Explains the distinction and optimization between CPUs and GPUs.

Contrasts CPU memory's hierarchical architecture with GPU memory's flat architecture.

Challenges and Future of GPUs

Balancing performance with power consumption is a primary challenge for GPU developers.

GPUs are expected to play an increasingly vital role in various industries, driving technological advancement with specialized capabilities. As GPUs are under high demand in the market, selling used GPU will be an option to save or make money for your project.