Difference between CPU and GPU

Difference between CPU and GPU

Are you tech-savvy? Then, you must have built websites and performed complicated computational power. If you have a computer, the CPU is the prominent thing which processes minor computational tasks. On the other hand, GPUs are something that gamers use to boost their gaming efficiency. So, this blog will discuss the major components of the CPU and GPU. Welcome to this blog, where we will be discussing the difference between CPU and GPU, what is GPU? and more. One processes the computational operation, while the other deals with processing complex algorithmic operations.

So, what is CPU and GPU? If you have this question, you have landed on the right guide. In this blog, we will delve deeper into the difference between CPU and GPU. We have covered concepts from beginners to web developers.

What is CPU?

CPU or Central Processing Unit is an essential hardware component of the computing resource. In this, there are several microprocessors which contain tiny switches and control the flow of electricity through different circuits. The heart of the CPU is called the motherboard. The motherboard is basically a main circuit board inside a computer that connects all hardware components.

CPU is mostly founded with personal desktops and laptops. In laptops, it is integrated within the device, while personal desktops demand an external CPU.

What Are CPU Features?

Let’s decode the prime CPU features that are useful for computational tasks.


There are several aspects of the operating system, but the CPU’s primary purpose is to perform instructions given by a software program, such as arithmetic, logic, and I/O controls. It also controls the flow of data within the computer in various ways.


The CPU encompasses an MMU, which is the shorthand for the memory management unit, a CU, which stands for the control unit, and a cache. The MMU controls access to data between the CPU and the main memory, or RAM, abbreviated by the acronym RAM. It also ensures that all parts of the CPU are in phase or in step with the other to prevent inequality of beats. Cache memory is faster than RAM and is placed on the processor’s chip, causing it to be closer to the CPU.


CPU performance can be measured by several characteristics, including CPU performance can be measured by several characteristics, including:

  • Clock speed: The number of cycles of execution of a program that can fit into a second
  • A number of cores: Manufacturers classify CPUs based on the number of cores they have; for instance, there are single-core, dual-core, quad-core, Hexa-core, eight-core, and ten-core machines.

What is GPU?

A GPU (Graphics Processing Unit), is an electronic microprocessor used for rendering and computing responsibilities that are graphic-related. Picture it as a junior partner with the main CPU, offloading the graphics processing unit which means you’ll get a better and smoother gaming experience, video editing, or 3D animations among others.


GPU Features: Why Are They Special?

The following are some of the features associated with GPUs.


It will always be the case that GPUs are designed with hundreds of individual cores, the ability of which to support thousands of threads at one time and thus optimize the product.

Video Memory

Video memory is, however, not a part of the traditional memory in a computer more than the random access memory or RAM but rather a feature of the GPU. Hence, as aimed at controlling big bandwidth size from graphical-use applications, it has been specially planned for this purpose.

Cooling Systems

Some models of GPU are equipped with fans or exhaust systems to avoid heating and speed up the process to the level of efficient cooling.

Low Latency

Some specific GPUs available today are configured to improve and measure system latency to realize focused performance enhancement and improved target-acquisition and reaction times.

Game Ready Drivers

Game-ready drivers in GPU give consumers the choice to set graphics preferences ‘on the fly’ with a button click and additionally incorporate the best of NVIDIA technologies.

Now that you have read about the GPU and CPU features, let’s move on to the main part of this blog: GPU and CPU comparison.

CPU vs GPU Difference: A Comparison Table

CPU vs GPU Difference


Below, we have summarized the above difference between CPU and GPU for your better understanding.

GPU vs CPU: In a Brief


1. Core Count

CPUs have fewer cores (Generally 4-16 but less), but all these cores are more potent and have a better operational capability. This makes them ideal for single-threaded operations, such as simple web browsing or for running selected software. On the other hand, GPUs have a significantly higher number of cores, orders of magnitude higher than CPUs, with core numbers in the hundreds or even thousands. However, the computational power of each of these individual cores is significantly less than that of a core in the CPU. This design enables them to perform well in parallel computation, which is a process of splitting complex calculations into sections that can be solved at the same time.

2. Processing Style

CPUs are asynchronous in nature as they are aimed at serial processing, that is, step-by-step execution of instructions. This is best for generic operations but can be problematic when conducting complicated tasks that require a large number of calculations. On the other hand, GPUs are excellent examples of parallel computers. They can handle numerous chores simultaneously, which is something that makes them best suited for use in applications like video editing and expansive simulation tasks.

3. Memory Access

This is usually larger and directly accesses the main system memory (RAM) for data, known as the CPU cache. This is used for fast data access and fast data transformations for utilitarian and generic computing applications. Specifically, while CPUs have larger caches and RAM but are not specially designed for high data throughout, GPUs have smaller caches and GDDR designed for high bandwidth, but the data must be transferred from the CPU, which can be a bottleneck on some occasions.

4. Functions

The CPU functions as the brain behind the computer, which in turn directs all key operations. It is in charge of executing programs, controlling data movement, and translating orders into something tangible. On the other hand, GPUs use different processors to manage a number of tasks at the same time and deliver outputs that are later combined to achieve something more advanced than the composing parts. Its design facilitates fast performance on a wide range of repetitive computations. This makes it suitable for generating complex images and enhances high-speed computation.

How Does CPU Work?

A CPU can do many things fast but is limited in how many things it can do at once. It interprets most of a computer’s commands, like basic instructions that drive the computer. The CPU fetches program instructions over its instruction side (IS) bus, reads data over its data side (DS) bus, executes the instructions and writes the results over the DS bus.

How Does GPU Work?

A GPU is designed to render high-resolution images and video fast. It’s made up of many smaller, more specialized cores that work together to deliver huge performance when a processing task can be split across many cores at the same time. GPUs can do simple and repetitive tasks much faster because they can break the task down into smaller pieces and do them in parallel. GPUs are also used for non-graphical functions like machine learning and scientific computation.

Similarities between GPUs and CPUs

1. Core

GPU and CPU have cores that do all the computations and logical functions. The core pulls instructions from memory in the form of digital signals called bits. It decodes the instructions and runs them through logical gates in an instruction cycle. CPUs used to have only one core, but now we have multi-core CPUs and GPUs.

2. Memory

Both CPUs and GPUs do millions of calculations every second and use internal memory to speed up processing. The cache is the built-in memory that gives quick access to data. In CPUs, the labels L1, L2 or L3 indicate cache hierarchy. L1 is the fastest, and L3 is the slowest. A memory management unit (MMU) controls data movement between the CPU core, cache and RAM in every instruction cycle.

3. Control Unit

The control unit coordinates the tasks and decides the frequency of the electric pulses the processing unit generates. Higher-frequency CPUs and GPUs are better. However, the design and configuration of these components are different for CPUs and GPUs, so they are useful in various scenarios.

How does Cantech meet your needs for CPU and GPU servers?

Cantech is the fastest growing web hosting service provider, founded on the concepts of CPU based VPS hosting and dedicated servers. We also provide GPUs which are usually used for other tasks that might be more resource intensive. Your website requirements may be met perfectly with our CPU servers despite this deficiency.

However, for computationally intensive tasks involving heavy graphical processing (as in video editing, 3D animations, or any other complex simulations), Cantech might be the best option because of our servers’ graphics processing capabilities.

GPU vs CPU: Wrapping Up

Here, we conclude the difference between CPU and GPU, and on this note, both of them have specific usage. There is a huge CPU and GPU difference because of technological aspects. They may seem similar, but now you can differentiate them on the basis of functionalities, processing power and others. Honestly, both are necessary for a well-running computer, especially if you’re a creative professional gamer.

And that’s where CanTech Web Hosting is coming into the picture! We provide web hosting packages with strong CPUs and optional GPU add-ons to ensure your website performs as desired, whether you’re offering static content or making complicated graphics. Go to CanTech now and get a plan that is suitable for your hosting needs.



What is the main difference between CPU and GPU?

A CPU (Central Processing Unit) is a complex computer chip which performs most of the routine work a computer does, be it running a program, browsing the web, etc. The two unique selling points of Homer are The former reflects its strength in performing single tasks within time and efficiency.

On the other hand, a GPU which stands for Graphics Processing Unit is a microprocessor solely for accelerating graphics computation or rendering. Hence, it excels in conditions that demand many calculations to be carried out at once, which makes it ideal for tasks such as video enhancements, 3D graphic rendering, as well as high-performance gaming.

Is it better to have a CPU or GPU?

There is not one that can be said to be ‘better’ than the other because they are tailored for different uses. But if you want general ongoing computing throughout a system be it browsing, typing, or even word processing, then a strong CPU is required. Nevertheless, when done with general usage, and your primary task includes graphic-related operations, such as video rendering or playing the most demanding games, then the GPU’s raw power will matter, and you will experience better performance.

What is the difference between CPU and GPU performance?

The main difference is that while CPUs are efficient when it comes to linear calculations, GPUs are designed to perform calculations simultaneously, or parallelly. This makes them suitable for tasks that require visual data manipulation where many calculations at the same time are carried out and these are suitable for parallel computation.

What is the difference between CPU and GPU version?

The computing capability hardware versions don’t exist for CPUs and GPUs. Cores also come in generations where newer generations make improvements and additions compared to the previous generations in terms of performance and features to the CPUs and GPUs. Although both concepts are used every day in every computer, they are different parts in a computer and do not have versions in the same way.

Which is better, CPU or GPU? 

It’s impossible to answer this question in general because a lot of factors can be seen as crucial depending on the individual… For carrying out daily operations and regular gaming, the ordinary CPU is sufficient in rendering an optimal performance. Although the impact of a GPU is a little less felt in basic work with word processors, spreadsheets or browsing the internet, in cases where complex applications.

How Faster is GPU vs. CPU?

In certain operations which involve much use of graphics, GPUs are known to outperform CPUs, although not necessarily in other operations. They can both process vast amounts of data from vision systems in parallel manner, which makes these GPUs thousands of times faster than a CPU that uses a single-threaded processing model.

Can a GPU Replace a CPU?

So, the answer to the question: ‘Can a GPU replace a CPU?’ is, no it cannot. CPUs perform basic computational activities that are central to the functioning of a computer such as the running of programs and allocation of resources and GPUs are designed to perform specific functions like the rendering of graphics. It is important to state that they both act in concent: (conjunction) for maximum efficiency.


About the Author
Posted by Dharmesh Gohel

I am an SEO content writer with a passion for crafting high-quality, optimized content. Specializes in boosting online visibility and driving organic traffic.