A GPU is a processor built to handle graphics and parallel calculations

A GPU, or graphics processing unit, is a specialized chip in your computer designed to draw images, video, and animations on your screen. Unlike your main processor (the CPU), which handles one task at a time in sequence, a GPU can process thousands of small calculations simultaneously. This makes it exceptionally fast at the specific job of rendering graphics—but also useful for other work that involves the same kind of parallel processing, like video editing, 3D modeling, or machine learning.

Every computer has some form of GPU. Budget laptops and older desktops often have a GPU built into the main processor chip itself, called integrated graphics. Gaming computers, video editing workstations, and servers typically have a separate dedicated GPU card plugged into the motherboard, which has its own memory and cooling system. The dedicated card is faster because it doesn't share resources with the CPU.

Key Takeaways

  • A GPU is a processor that excels at drawing graphics and performing calculations in parallel, making it much faster than a CPU for those specific tasks.
  • Integrated GPUs are built into your main processor and work for everyday tasks like web browsing and office work, while dedicated GPUs are separate cards for gaming, video work, or professional applications.
  • The two major GPU manufacturers are NVIDIA (which makes GeForce and RTX cards) and AMD (which makes Radeon cards), and your choice affects which software and games run best.
  • GPU memory (called VRAM) is separate from your computer's main RAM and determines how much image data the GPU can hold at once.
  • Modern GPUs are also used for tasks beyond graphics, including video encoding, cryptocurrency mining, and artificial intelligence training.

How a GPU differs from a CPU

Your CPU (central processing unit) is designed to do one thing very well: execute instructions in order, one after another, as fast as possible. It has a few powerful cores—typically 4 to 16 in a consumer computer—and it switches between different programs and tasks. When you open a web browser, the CPU handles the logic: reading the web page data, running JavaScript code, managing your files.

A GPU, by contrast, has hundreds or thousands of smaller cores that all work on the same problem at the same time. Drawing a single frame of video requires calculating the color of millions of pixels. A CPU would have to color them one by one. A GPU colors thousands of them in parallel. This is why a GPU can render a video game at 60 frames per second while a CPU alone would struggle to manage 10.

The tradeoff is that a GPU is not flexible. It is optimized for graphics and parallel math, not for the varied, sequential logic that a CPU handles. You need both: the CPU to manage the overall system and make decisions, and the GPU to handle the heavy lifting on graphics and certain calculations.

Integrated vs. dedicated GPUs

Integrated graphics means the GPU is part of your CPU chip itself. Intel calls theirs Intel UHD Graphics or Intel Iris Xe; AMD calls theirs Radeon Graphics. These share your computer's main RAM and run cooler because they don't need their own cooling fan. They are sufficient for web browsing, email, video calls, and office work. They struggle with modern video games and heavy 3D work because they have less memory and less processing power.

A dedicated GPU is a separate card—usually made by NVIDIA or AMD—that plugs into a slot on your motherboard. It has its own memory (VRAM), its own power supply, and its own cooling system. Dedicated GPUs are faster because they don't compete with the CPU for resources. They are necessary for gaming at high settings, professional video editing, 3D animation, and machine learning work. The downside is cost (a good gaming GPU can run $300 to $800) and power consumption.

Most laptops and budget desktops use integrated graphics. Gaming laptops and gaming desktops use dedicated GPUs. Workstations for video or 3D work often use professional-grade dedicated GPUs like NVIDIA RTX or AMD Radeon Pro, which are optimized for those tasks and cost more than gaming cards.

NVIDIA and AMD: the two GPU makers

Nearly all dedicated GPUs come from one of two companies: NVIDIA or AMD. NVIDIA dominates the gaming and professional markets with its GeForce line (for gaming) and RTX line (for professional work and AI). AMD competes with its Radeon RX line for gaming and Radeon Pro for professional work.

The choice between them matters because different software and games are optimized for each. Some games run better on NVIDIA cards; others run better on AMD. Professional software like DaVinci Resolve or Blender often has better support for NVIDIA's CUDA technology, which allows software to use the GPU for calculations. However, AMD's cards are often cheaper for the same performance level.

Intel has recently entered the dedicated GPU market with its Arc line, but as of now it has a small market share and less software support. For most people, NVIDIA or AMD is the choice.

GPU memory and performance specs

When you look at a GPU's specifications, you will see a number like "8 GB" or "12 GB"—that is VRAM (video RAM), the memory the GPU uses to store image data while it works. This is separate from your computer's main RAM. A GPU with 4 GB of VRAM can hold less image data at once than one with 8 GB, which limits how large or detailed a scene it can render.

For gaming at 1080p resolution (the standard for most monitors), 4 GB is adequate. For 1440p or 4K gaming, or for professional video and 3D work, 8 GB or more is better. Video editing and AI work often benefit from 16 GB or more because they process large amounts of data.

Other specs include memory bandwidth (how fast data moves in and out of VRAM), clock speed (measured in GHz), and TFLOPS (trillion floating-point operations per second), which is a rough measure of raw processing power. Higher numbers are faster, but the relationship is not always straightforward—a newer GPU with lower TFLOPS can outperform an older one with higher TFLOPS because the architecture is more efficient.

What GPUs are used for beyond gaming

While gaming is the most visible use of GPUs, they power many other tasks. Video editing software like Adobe Premiere Pro and DaVinci Resolve use the GPU to speed up effects, color grading, and rendering. 3D modeling and animation software like Blender and Cinema 4D use the GPU to preview and render scenes. Machine learning and artificial intelligence training rely heavily on GPUs because the parallel processing is ideal for the math involved.

GPUs are also used for video encoding—converting video from one format to another—which is why streaming services and video conferencing software can offload that work to the GPU instead of slowing down your CPU. Some people use GPUs for cryptocurrency mining, though this is less common now and uses significant power.

In data centers, GPUs are the backbone of cloud computing services that train large language models and other AI systems. A single data center might contain thousands of GPUs working in parallel.

How to check what GPU your computer has

On Windows, right-click on your desktop and look for an option like "NVIDIA Control Panel" or "AMD Radeon Settings." If you see one, you have a dedicated GPU from that manufacturer. If not, you have integrated graphics. You can also open Device Manager (search for it in the Start menu), expand "Display adapters," and look at what is listed there.

On Mac, click the Apple menu, go to "About This Mac," and click "System Report." Under "Graphics/Displays," you will see your GPU listed. Most Macs use integrated graphics from Apple's own chips (M1, M2, M3, etc.) or older Intel integrated graphics.

On Linux, open a terminal and type lspci | grep -i vga to see your GPU. The output will show whether it is integrated or dedicated and which manufacturer makes it.

Frequently Asked Questions

Do I need a dedicated GPU for everyday computer use?

No. Integrated graphics are sufficient for web browsing, email, video calls, document editing, and streaming video. A dedicated GPU is only necessary if you play modern games, edit video, do 3D modeling, or work with machine learning.

Why do video games need a GPU?

Modern video games render complex 3D scenes with millions of polygons, textures, and lighting effects every frame. A GPU can calculate all of this in parallel, drawing 60 or more frames per second. A CPU alone would be far too slow.

Can I upgrade the GPU in my laptop?

In most laptops, the GPU is soldered to the motherboard and cannot be upgraded. Some older gaming laptops had removable GPU cards, but this is rare now. Desktop computers can almost always be upgraded by removing the old GPU card and installing a new one.

What is the difference between CUDA and OpenCL?

CUDA is NVIDIA's technology that allows software to use NVIDIA GPUs for calculations. OpenCL is an open standard that works with any GPU. CUDA is more widely supported in professional software, which is why NVIDIA GPUs are preferred for video editing and AI work, even though AMD cards are sometimes cheaper.

How much power does a GPU use?

Integrated GPUs use very little extra power because they share the CPU's power budget. Dedicated gaming GPUs typically use 75 to 450 watts depending on the model. Professional GPUs can use even more. This is why gaming computers need larger power supplies than office computers.