GPU vs CPU : What matters most for Computer Gaming?

Computer gaming has become an integral part of our lives. It’s a hobby that brings people together and allows them to enjoy themselves while having fun.

But what matters most when choosing between a GPU and a CPU for computer gaming?

The question is simple, what matters more in a computer game: the GPU or the CPU? The answer to this question will be different depending on who you ask. Some people say that it doesn’t really matter because they can both do their job equally well and others claim that one of them is better than the other.

In fact there are many opinions about which one should be used first when building your gaming PC. This article aims at giving an overview of these two components and how each of them works. We’ll also take a look at some games where we see if either component has been favored over another.

What is the GPU?

A graphics processing unit is a specialized chip designed specifically to handle graphical tasks such as rendering 3D images, displaying 2D images like windows, playing video files etc…

A GPU is usually integrated into motherboards but sometimes it may come with its own separate box. GPUs have evolved from being very basic chips handling only graphic functions to complex processors capable of running multiple applications simultaneously. They’re now able to perform much faster calculations than CPUs so they’ve become essential parts of modern computers.

What is the CPU?

CPU stands for central processor unit. It’s basically the brain of any computer system. Its main function is to manage all the operations performed by the rest of the hardware.

It controls everything including memory management, scheduling processes, managing input/output devices, controlling peripherals, executing instructions, performing arithmetic computations, storing data, interfacing with software programs, etc..

So why does anyone need a GPU and not just use a CPU?

Well, let’s start off by saying that a GPU is actually made up of several smaller units called cores. 

Each core handles specific tasks within the overall process of creating a picture. A single core could be responsible for drawing lines, shading objects, lighting effects, calculating shadows, texturing surfaces, applying special effects, etc…

So instead of using a single powerful CPU to create pictures, we would rather split those duties among several weaker ones. That way we get a lot more done per second since we don’t have to wait for the whole machine to finish doing something before moving onto the next task.

This concept is known as parallel computing.

Nowadays, even though a GPU might seem less efficient than a CPU, it still performs better than a standard CPU thanks to its ability to run multiple threads concurrently.

In addition, a GPU offers higher performance per watt compared to a CPU. 

What’s the “core” difference between CPU and GPU?

There are three types of cores found inside a typical CPU: integer, floating point and vector. An integer core is dedicated to mathematical calculation while a floating-point core deals mainly with numerical computation. 

Vector cores work together to calculate vectors. These cores are often referred to as scalar cores.

On the contrary, a GPU contains tens of thousands of cores.

 Most of them deal with image creation and manipulation. 

There are also dozens of vector cores available. The number of these cores varies depending on the type of card you buy. Some cards contain hundreds or even thousands of cores.

The reason behind this huge difference in numbers lies in how each one works.

What is more important for PC gaming: CPU or GPU?

If your goal is to play games at high resolutions, then you should definitely invest in a good graphics card. But if you want to game at lower resolution settings like 1080p, then there isn’t really an advantage to having a stronger CPU over a strong GPU. 

In fact, some people argue that a weak CPU can make things easier when playing games because it allows the GPU to focus solely on rendering images without worrying about other stuff. However, if you’re looking to do anything else besides gaming, then a faster CPU will help out quite a bit. 

So what matters most for video editing? 

Well, I’d say both! 

You’ll probably find yourself needing to edit videos from time to time so investing in a fast CPU and a decent GPU makes sense.

But remember, no matter which option you choose, you won’t regret buying either. They both offer great value for money. 

Which game types require more labor from the CPU?

CPUs are used mostly for 3D rendering, physics calculations, AI and audio processing. 

If you plan on running any kind of simulation software such as flight simulators, racing simulations, strategy games, first person shooters, real life driving simulators, etc., then you need a beefy processor. On the other hand, CPUs aren’t usually needed for 2D games unless they involve complex animation sequences.

CPUs and the End of Moore’s Law

Moore’s law states that every two years, the size of transistors shrinks by 50%. This means that computers become smaller and cheaper. 

It has been true for decades now but recent developments suggest that this trend may be coming to an end. 

Intel recently announced that their new 10nm process technology will not shrink transistor sizes anymore. Instead, they’ve decided to use different materials to build chips. This change could lead to slower processors and increased costs.

GPUs: Key to AI, Computer Vision, Supercomputing and More

Graphics Processing Units have come a long way since their inception back in 1985. Today, GPUs power everything from self-driving cars to virtual reality headsets. And thanks to advances in artificial intelligence, computer vision and supercomputing, we’re seeing a shift away from traditional CPUs towards GPUs.

In short, GPUs are better suited than CPUs for tasks involving large amounts of data crunching. For example, they excel at handling massive datasets while CPUs struggle with this task. 

As a result, many companies are using GPUs instead of CPUs to train neural networks. These days, GPUs are being used to create realistic facial animations, generate photorealistic landscapes and render stunning visuals for VR experiences.

GPU vs CPU || Which is better for Computer Gaming?

The best answer depends on how much you spend on your PC. 

The main difference between them is speed. A powerful GPU can give you higher frame rates and smoother gameplay. That said, a powerful CPU can also improve performance significantly.

 Both options provide excellent results though. 

There are plenty of reasons why one would prefer a particular type of hardware. Some gamers might favor a system built around a specific brand or model. Others might simply enjoy spending less money. 

Whatever your reason, choosing wisely is key. What does “more cores” mean?

More cores refers to the number of individual components inside each chip. 

Each core performs its own function independently. When multiple cores exist within a single component, they work together to perform certain functions simultaneously. 

For instance, a dual-core processor contains two separate sets of logic circuits called “logic units”. 

One set handles simple math operations while the other works on advanced algorithms. In contrast, quad-cores contain four independent sets of logic units. 

Quad-cores allow more simultaneous processes to occur without slowing down overall performance. 

However, some people find it difficult to program multi-threaded applications because there isn’t enough memory available to store all threads’ information. 

AI and Gaming: GPU-Powered Deep Learning Comes Full Circle

Artificial Intelligence is quickly becoming a major force in gaming. 

From chatbots to voice recognition systems, game developers are incorporating these technologies into games as part of their quest to make players feel like real humans interacting with digital characters. 

But what exactly makes AI so special when applied to video games? 

Why should anyone care about deep learning? 

How do graphics processing units help AI thrive? Let’s take a look!

Deep learning is a subset of machine learning where computers learn through experience rather than explicitly programmed rules. 

Unlike other forms of machine learning, which require programmers to write code, deep learning allows machines to figure things out themselves based on examples provided by users. This process involves feeding huge quantities of data into an algorithm that learns from those inputs. Once trained, the software can then be reused to solve similar problems. 

It’s not just limited to computer vision either; deep learning has been successfully implemented across numerous industries including finance, healthcare, retail, manufacturing, transportation, robotics, and even education.

Conclusion: GPU vs CPU

If you’re looking at building a new rig, we recommend starting off with a high end CPU first before upgrading to a GPU. If you have any questions regarding this article please leave us a comment below. We’ll get back to you shortly!