Getting the best performance from your video processing software is worth investing in the right hardware. The truth is that high-performance graphics cards, although a pricey investment, really do make a huge difference because of their high processing speeds and loads of memory. Fortunately, you don’t have to do a ton of research to figure out the best candidates. NVIDIA is currently running the GPU show, and their newest generation of graphics cards are nothing short of jaw-dropping. Take a look at the specs and video processing potential from their GeForce GPUs.

Get the best of NVIDIA Turing™ architecture

NVIDIA pioneered Turing™ architecture for GPUs. And it’s the microarchitecture that they’ve been using for several generations of GPU now. That’s because it evolves with ever growing video processing standards and continues to work. In fact, you’ll still find their trademark Turing architecture at work in the newest generation of GPUs from NVIDIA.
Here are the specs on the latest high-powered graphics cards:

NVIDIA GeForce RTX™ 2080 Ti

The RTX 2080 Ti is the cream of the crop in the latest generation of graphics cards.
It’s currently NVIDIA’s flagship GPU, and makes for the most realistic video
processing you can get.
Specs:
● Dual axial fans
● 1350 MHz clock speed
● 1635 MHz boost clock speed
● 11 GB memory
View full specs.


NVIDIA GeForce RTX™ 2080

The RTX 2080 also offers hyper-realistic video streaming with high-speed graphics
processing. The new RTX line has increased performance by up to six times that of
earlier generations.
Specs:
● Dual axial fans
● 1515 MHz clock speed
● 1800 MHz boost clock speed
● 8 GB memory
View full specs.


NVIDIA GeForce RTX™ 2070

With a bit less speed than the 2080 cards, the RTX 2070 is an excellent choice for
high-performance video streaming if you can't afford the price tag on the faster RTX
GPUs. You still get amazing video and the benefits of Turing architecture.
Specs:
● Dual axial fans
● 1410 MHz clock speed
● 1710 MHz boost clock speed
● 8 GB memory
View full specs.

It’s important to note that the specs listed here are for the Founders edition cards.
If you purchase a GeForce RTX GPU from a manufacturer other than NVIDIA, the
specs will differ slightly, but they will still be amazing and utilize Turing architecture.


How NVIDIA GPUs enhance video processing

The majority of GPU junkies are gamers. But if you’ve made it to this article, you
probably realize high power graphics cards have more uses than just better video
game experiences. They also help with video editing and playing high-resolution videos on your machine. This has several beneficial applications, including better quality for playing video live if you do video streaming. For anyone who is streaming video live on an online platform, you’ll need both encoding software and a GPU that allows for encoding of streaming video.

If you’re looking for a GPU that can improve your encoding process (also called
transcoding), any of the latest generation of NVIDIA graphics cards will provide you
with amazing results.


Mathematical science applications

Before you think this is all about making ridiculous videos or profiting off a YouTube channel, you should know that modern graphics cards are actually revolutionizing problem-solving in intensive mathematical calculations for science and engineering. Solving math computations may not have been their original intent, but the power behind their processing speeds makes them much more energy efficient than standard high-performance CPUs. And it’s thanks to these video processing features. In fact, researchers at KAUST Extreme Computing Research Center have made it possible for any scientist, engineer, or mathematician with an NVIDIA GPU to have “a faster solver for a common task in scientific and engineering computing,” according to Professor of Applied Mathematics and Computational Science, David Keyes.
You can find out more about GPU potential for computing architecture at NVIDIA’s
accelerated computing page for their CUDA platform, as well as the research paper
from Ethan Kerzner and Timothy Urness, “GPU Programming for Mathematical and Scientific Computing.” Needless to say, GPUs are a viable and sustainable option for further advances in computational and mathematical science.

What this means for live streaming

Listen, if these graphics cards are good enough for mathematical science, they are definitely powerful enough to enhance encoding for your live video streaming and recordings.
And here’s something even better:
The latest NVIDIA GeForce RTX GPUs have actually made it possible to produce
professional quality broadcasts of image-intensive content, like video game play-
throughs, using a single PC. They truly have the power to do it all.