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Difference Between GPU and CPU

What is a GPU? What is it used for?

A GPU or graphics processing unit is a processor that consists of numerous smaller and specialized cores. It works to swiftly manipulate the memory and speed up the computer.

The cores of a GPU work together to deliver immense performance by enabling a processing job to be split up and processed across multiple cores. A GPU is used for various specific tasks that need higher parallel processing capabilities, such as AI, HPC, gaming, and supercomputing.

Pros and cons of GPU


  • A GPU functions independently and is capable of increasing the system performance to a great extent.
  • It comes with its own RAM, which is faster than the system memory.
  • It is ideal for graphics-oriented gaming and enhances the video experience significantly.


  • In spite of being several in number, GPU cores have lesser clock speed and power than the CPU cores.
  • GPUs have a limit on the maximum memory capacity they can have.
  • GPUs have limited application programming interfaces (API).
  • GPUs consume more power and hence can overheat easily.

What is a CPU? What is it used for?

A central processing unit or CPU, aka the brain of the computer, is made up of billions of transistors and has many processing cores.

A CPU is responsible for executing the commands and processes required to run the computer and its operating system. The CPU determines how fast the programs on a system can run.

Pros and cons of CPU


  • A CPU eases the designing of small computers like tabs, mobile phones, and embedded computers.
  • It is suitable for the tasks that need serial processing.
  • When used in a great number, the processors can enhance the power of logical and arithmetic operations of a computer.
  • A CPU can process business and mathematical data rapidly.


  • A CPU, unlike GPU, is not specialized, and so it takes longer than GPU for doing the same task.
  • It causes heat generation. So, the more it is active and performs speedily, the hotter it gets.
  • It is quite fragile. One needs to be very careful and precise while installing or repairing it.
  • It is a relatively costly component than the other parts of a computer.

Difference between CPU and GPU

ArchitectureA CPU is designed to carry out a broad range of tasks quickly but has limitations in running concurrent tasksA GPU is designed to render concurrent images and videos of high resolution quickly.
Core CountIt consists of a few but powerful cores.It has many more cores, but they are not as powerful as those of a CPU.
Latency and ThroughputIt is fast and low on latency.It is not as fast but delivers high throughput due to parallel processing.
PerformanceIt can perform well in everyday computing and tasks involving serial processing by taking many diverse sets of instructions.It performs well in many concurrent graphics and HPC tasks by taking optimized parallel sets of instructions.
Use Cases3D processing, data analysis, power efficiencies, machine learning and deep learning, video rendering and streamingContinuous integration (CI)/continuous delivery (CD) toolchains, audio and video transcoding, big data, build servers, game servers, scientific computing

Both dedicated CPUs and GPUs can be used independently to achieve specific outcomes. CPUs are essential for daily computing needs, whereas GPUs do good in graphics-based and supercomputing operations. Both CPU and GPU computing can be utilized together for the highest levels of performance for certain tasks.

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