Nvidia’s Compute Unified Device Architecture or better known as CUDA Cores use a specialized programming language to efficiently process data such as carry out calculations for game Graphics. CUDA Cores are similar to how a CPU uses multiple cores to process data.
So, as a general rule, the more CUDA cores a Nvidia Graphics card has the better.
It might be that you enjoy playing video games, or that you use your computer to watch video after video.
Either way, there is no getting around the fact that your whole experience will depend upon the quality of the Graphics Processing Unit (GPU) that you decide to use.
These GPUs either come as a built-in component of your processor or can be added to your set up via the use of a dedicated graphics card.
GPUs are responsible for processing every single bit of content and graphics that are destined for the screen, be that on a computer or on a gaming console.
Amongst the elite groups of GPU, manufacturers are NVIDIA, which also has a parallel computing model by the name of CUDA which stands for Compute Unified Device Architecture. This break down will detail everything you need to know about NVIDIA’s CUDA cores, with details about what they are and how we use them.
Understanding CUDA Cores
Most modern Central Processing Units (CPUs) can have between two and 32 cores. This means that they have multiple core components that are able to process data.
If you were to purchase a graphics card that contained multiple CUDA cores, it’s much the same as buying a multi-core CPU. The only difference being that the GPU would use thousands of course.
Also much smaller than CPU cores, CUDA cores enable Nvidia to fit more into a smaller space.
The sheer size of graphics cards compared to CPUs is another reason for the disparity between the number of cores in each setup.
Even with the appreciation and understanding of how thousands of CUDA cores can be found in a graphics card. Actually understanding how they work can be something else altogether.
Essentially, CUDA cores render any low-level coding into graphics to be displayed on the screen. Now, where this differs from CPU core processing is that CUDA cores are designed for the benefit of exceptional graphics.
The rendering of all the fine details allows CUDA cores to present graphics as fine-tuned, aesthetically pleasing and even life like on screen still or moving images.
CUDA cores operate as a highly efficient system, with each core working on its own specific task. With all the cores busy rendering graphics they are able to create an outstanding output.
To give it some context, here’s a closer look at some of NVIDIA’s latest graphics cards and how they weigh in in terms of the number of CUDA cores:
RTX 2080 Ti = 4352 Cuda cores
RTX 2080 = 2944 Cuda cores
RTX 2070 = 2304 Cuda cores
RTX 2060 = 1920 Cuda cores
How CUDA Cores Help
When it comes to GPU choices, gamers, in particular, have two main options.
Either they go with AMD and their “Stream Processors”, or they choose NVIDIA graphics cards with their CUDA cores.
The CUDA cores are able to display graphics of incredibly high resolution and allow these to be presented in the most user-friendly way. The experience is fine detailed and smooth throughout.
As the CUDA cores work on things such as the physics of a game, as well as the lighting and the shading, the graphics combine to provide the user with the most enthralling of experiences, whether they’re using 3D gaming or flat screen outputs.
An additional use that people harness CUDA cores for is when mining cryptocurrencies. Due to the efficiency and increased speed advantages that GPUs have over CPUs.
It has to be said that there are plenty of people out there, from gamers through to researchers. They harness the speed of NVIDIA’s GPUs for a number of reasons. The CUDA cores work in so many ways for so many people.