AMD debuts high-performance RDNA 2 Mobile Radeon GPUs

[HEXUS]

And details plans for FidelityFX Super Resolution soon.

Read more.

[kalniel]

AMD announces its competitive solution, known as FidelityFX Super Resolution, is set to debut on June 22. More details will surely come closer to the launch, but we suspect it's using an algorithm-based supersampling and resolution upscaling rather than machine learning-driven technology currently employed by Nvidia.

The 'machine learning driven-technology currently employed by Nvidia' is still an example of algorithm-based supersampling and resolution upscaling, not something completely different.

Where there *is* a difference it might be that AMDs solution is likely to be ready to run on general purpose shaders or whatever that all cards have.

[3dcandy]

AMD announces its competitive solution, known as FidelityFX Super Resolution, is set to debut on June 22. More details will surely come closer to the launch, but we suspect it's using an algorithm-based supersampling and resolution upscaling rather than machine learning-driven technology currently employed by Nvidia.

The 'machine learning driven-technology currently employed by Nvidia' is still an example of algorithm-based supersampling and resolution upscaling, not something completely different.

Where there *is* a difference it might be that AMDs solution is likely to be ready to run on general purpose shaders or whatever that all cards have.

Well NV themselves say it's a deep learning/machine learning driven technology....

[kalniel]

Well NV themselves say it's a deep learning/machine learning driven technology....

Yes, and deep/machine learning is a type of algorithm.

It's like Musk coming along and saying that he's making Tesla's, not cars. When actually Tesla's are still cars, just not ICE ones.

[CAT-THE-FIFTH]

algorithm-based supersampling and resolution upscaling rather than machine learning-driven technology currently employed by Nvidia

Just need to add to quantum and nano and marketing have a tech singularity!

Yes, and deep/machine learning is a type of algorithm.

It's like Musk coming along and saying that he's making Tesla's, not cars. When actually Tesla's are still cars, just not ICE ones.

Agreed - Nvidia is only using machine learning during aspects of generating the upscaling algorithms,not when its running on a GPU. Its most likely AMD(and their partners) are doing something similar.

[kompukare]

With DLSS, Nvidia finally found something to re-use the tensor sensors for. Pretty use DLSS was not the reason they were created. Clever of them to leverage their AI work into the consumer cards but they do take up a silicon too so while the design work now gets spread over gaming and AA, it does mean their gaming cards are bigger than AMD's for the first time since GK100 vs Hawaii.

[DanceswithUnix]

The 'machine learning driven-technology currently employed by Nvidia' is still an example of algorithm-based supersampling and resolution upscaling, not something completely different.

But it is an interpretive algorithm, rather than the conventional ones using interpolation (temporal as well and spacial in the good ones).

Saying they are the same is like saying a painting is the same as a photo. They are both just pictures, right?

So a conventional upscaler would say "there is a light green pixel and a dark green pixel, I will put a medium green pixel in the middle" the deep learning one says "That's a leaf, I will draw one there the correct size".

[kalniel]

Completely agree, but the statement wasn't DLSS is different from a conventional upscaler

My, perhaps clumsily made, point was that machine learning is also an algorithm.