(if my math is right) - 1) How much VRAM is being used by VDJ, with drivers for the RTX 4090, during stems 2.0 calculations? 2) Also what is the time to prepare the stems for say a 3 min track when loaded to a deck? looking at your graph I would guess it maybe about 1 second, right ? Today, when start VDJ 1.3 Go of 39.9 Go of memory processor GPU 1.2 Go of 24 Go of dedicated memory 0.1 Go on shared GPU memory Just after start VDJ and start processing stems 2.0 6.1 Go of 39.9 Go of memory processor GPU 5.4 Go of 24 Go of dedicated memory 0. Create superb audio compositions and broadcast them with Virtual DJ. (assume that is done intentionally so that the GPU is not over worked for hours at a time.) Why is it taking so long to do 4K tracks, at the above rate it should take less then 2 hours. Download the latest version of VirtualDJ for Windows. (and this even includes the read and then the write to storage, times) which is amazingly fast, my opinion, especially since tracks cued to be prepared, are a bit slower then then when they are loaded to a deck. And if that is true, then it appears that your systems is computing about 8 tracks every 10 seconds, or about 48 songs every min. Do you use the Stem function of Virtual DJ Without a subscription, youre missing out on a lot of educational videos. Love the stemsSavedStems, which will allow one to have the precomputed stems auto saved after first use, for those tracks that are currently being actively played. OMG love the new Stems 2.0, they are so amazing. According to VirtualDJ, the tool uses best-in-class audio separation and produces studio-quality acapella and instrumentals. I assume that is a plot of GPU usage (% of max) vs time in seconds. IIDEEJAYII PRO Infinity Member since 2012. Stems 2.0 by VirtualDJ uses AI technology and Deep Neural Networks Machine Learning to split separate components of a song such as the vocals, melody, kicks, hats and bass in real-time.
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