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Home » PC Components » Graphics Card » Creativity Redefined: New GeForce RTX 40 Series GPUs and NVIDIA Studio Updates Accelerate AI Revolution

Creativity Redefined: New GeForce RTX 40 Series GPUs and NVIDIA Studio Updates Accelerate AI Revolution

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Firstly, let’s cover the idea of an AI revolution. Just recently, new search engines have been released that use machine learning to do everything from writing a sonnet to creating your portrait as a rendered version of yourself. The “Revolution” as it is often stated, is simply its adoption, people realizing its limitations, it becoming far less popular, and then it will be used in a very different way and taken up by people who will actually use it for something meaningful. The same thing happened with mobile phones on their path to becoming Smartphones.

As you can imagine, these types of machine learning take a lot of processing power, and the new GeForce RTX 40 Series GPUs and NVIDIA Studio Updates are helping to make machine learning AI more available for affluent people and middle-sized businesses. They are also helping game designers to create even more realistic-looking and detailed games.

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The Console and PC Gaming Industry

As you can imagine, it is the gaming industry that is making the most out of the new GeForce RTX 40 Series GPUs and NVIDIA Studio updates. They allow next-generation ray tracing and Tensor Cores. In addition, dual AV1 NVIDIA encoders power brand-new tools for 3D visualizations, gaming, video production, game modding, live streaming and much more.

Why is the Gaming Industry So Excited?

As you probably know, a limitation of gaming is based on how you build graphical images and put them into a video game at higher and higher quality levels. Imagine creating a 3D piece of art of a kangaroo. You render out the image, perhaps to be viewed in a 3D environment. Look at how long your render takes to produce the end product. Now, imagine doing the same thing, but you need to render out an entire scene, make it interactive, and allow a sprite to move about the area. It takes a lot of processing power and often takes a lot of time. Modern AI technology removes the need for overly intensive design and helps to push the boundaries/limits of modern gaming graphics.

Examples of In-Game Trickery

Game developers have been finding ways around these limitations for years. For example, in Horizon Forbidden West, the scene is loaded and rendered within the first 190 degree view of the player, while the scenes behind them are being unloaded and removed. In a way, the game is always loading and unloading, but all you see as a player is a wonderful scene.

Another example is the amazing game God of War Ragnarok. Have you noticed how you have to squeeze through walls, hold up rocks to go under, and crouch to fit into tight spaces. These may seem unnecessary, but they are actually hidden loading scenes. The areas behind you are being unloaded while those in front are being loaded.

Using AI Instead of Trickery

Rather than loading the beautiful environments into the game, it only loads the mechanics and the interactive bits, along with a skeleton for the game environment. The AI software then creates the environment by fleshing out the bones of the environment. How does that work?

Imagine a very boring picture of an orange. Now, imagine you put a Snapchat filter on it to give it ears. Now, imagine that the AI decides if your orange gets ears or a bunny nose, and then applies the filters for you.

To put it even more simply. Imagine that you are creating lots of spaceship models for a game. You have finished them, but they need dirt applied to make them look more realistic. Instead of manually adding dirt yourself, you get the AI to do it. However, you don’t get the AI to add the dirt right there, instead, you program the game to add the dirt when the scene is being loaded while playing the game.

Born From The World of Rogue-Like

There are games called Rogue-Likes where a basic framework for levels is set out, but the game itself will populate the levels with select features in a randomized way. If done correctly, it creates games where no two play sessions are exactly the same. AI in gaming goes a little bit further than that.

The developers send you a game and AI programming. While you are playing the game, the AI is creating the game as you play. For example, in the Matrix demo for the PlayStation 5, you could look into any window in any building and you could see contents inside the windows. In this case, the developers had not carefully crafted 50,000 room interiors. Instead, they had the AI pick from a selection of interior objects, and allowed the AI to populate the rooms with stuff.

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Will Machine Learning Design Be The End of Cloud Processing?

People who buy the new GeForce RTX 40 Series GPUs and exploit the NVIDIA Studio Updates are going to have an easier time creating games using AI. However, creating the actual games will still require a lot of work. Cloud machine processing services like RebusFarm are not going to go extinct because of AI technology. On the contrary, cloud data centers are going to become more popular if game developers want to test and re-test their AI programming, their game designs and their gameplay experience. The new GeForce RTX 40 Series GPUs and NVIDIA Studio Updates are more for the benefit of gamers directly and game developers by extension.

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