Stem Separation via GPU
So we're all aware that the separation process works via the CPU at the moment, which takes way longer compared to other DVS'.
In an interview with Digital DJ Tips, it was said that the processing would be moved to the GPU instead.
Can any employees or devs from NI please update us on the status of this?
As an open format DJ, instant stem separation accompanied by everything Traktor has to offer would be an absolute god send.
Comments
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I agree. Using third party stem separation using the GPU is way faster at the moment than doing it within Traktor. Even to prep beforehand, stem sep is taking so long its not worth it for me.
2 -
I'm wondering if the underlayed code is changeable to support gpu, it wouldnt suprise me that the programming code is so legacy that all that kind of new things are impossible without start from scratch. Same for high resolution skins. Whats next.....
3 -
Why should processing on GPU be faster than CPU?
GPU cores are less powerful than CPU cores and have less memory.
While CPUs can quickly switch between different instruction sets, a GPU simply takes a large amount of the same instructions and passes them along at high speed.
I would only use the GPU to support the CPU in performing parallel calculations.0 -
Task like treating the sound signal or using neural network for sound processing is way faster on a GPU.
Take demucs or spleeter they both work on the CPU they are hundreds time faster on GPU. So it is understandable that people want GPU accelerated or GPU calculated stems
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The code for the separation is brand new.
In this case GPU is very much faster. All the other DJ software use it and do it in seconds.
Or take a look at NuoStems, which uses demucs. You can switch between CPU and GPU. Significant speed difference, no sound difference.
Or take a look at any LLM ..
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If the seperation code is brand new, its designed for history, not for the future. we all know that gpu is the way to get the fastest and / or realtime stems. So the brand new code is already overtaken by the competitors.
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