Intel, AMD and Google have no chance against Nvidia – Here’s why you as a gamer should be interested in the arms race in AI

Intel, AMD and Google have no chance against Nvidia – Here’s why you as a gamer should be interested in the arms race in AI

New comparisons attest that graphics card manufacturer Nvidia is unrivaled in the calculation and training of AIs. And this ultimately affects all gamers. Why that is the case, you will find out here on MeinMMO.

Why should you be interested in Nvidia’s ability in Artificial Intelligence? AI can already do a lot these days and is gaining more capabilities almost daily. Nvidia has also been focusing on AI in gaming for several years now, specifically on the subfield of machine learning.

Every title that uses DLSS benefits from the company’s knowledge in this field. Therefore, it holds true: Every Nvidia user can be happy because the games look better and perform better at the same time.

What is DLSS? Deep Learning Super Sampling, that is what DLSS stands for. Simplified, it is a program code that runs on your Nvidia RTX 2000 or higher GPU, providing you with more frames per second—resulting in a smoother image with minimal loss in image quality. The overarching topic here is: AI-Upscaling.

What do the benchmarks say? According to a report from zdnet, Nvidia took first place in a comparison test across all disciplines and also secured second place with a differently configured system. Only then did AMD, Intel, and Google follow with competing products.

Techniques like DLSS are also immensely important for implementing modern VR environments, such as Deep Dive:

What was tested? No graphics cards that you can easily purchase in retail were used on Nvidia’s side. However, the technology of the RTX GPUs and the tested H100 models are related. In both cases, so-called Tensor cores are used. If anyone wants to know more, they can read about the devices for large customers at Nvidia.

How was it tested? The systems had to complete various tasks, all related to the training of AIs, that is, their preparation for everyday use, which included:

  • Chatbots
  • Image recognition and generation
  • Analysis of large amounts of scientific data

Speaking of artificial intelligence: Even outside of helpers like DLSS, they have long been indispensable, but they are often the villains. In the case of the sci-fi strategy game Stellaris, both apply. Because the developers at Paradox Entertainment relied not only on one or another AI creation for the creation of the latest expansion “The Machine Age”, but also elevate machine intelligence narratively to a completely new level – as an enemy or also as a friend.

Source(s): zdnet.com
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