My Biggest TONEX Capture Problem SOLVED!

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Lonely Rocker

Lonely Rocker

Күн бұрын

Пікірлер: 23
@ianlahaye9476
@ianlahaye9476 4 сағат бұрын
They're just giving away ram these days! I thought having 16gb in my laptop was a major upgrade (well it was) but holy moly... Kreative Devices doing some great things for creative people in need without the professional budget to do so. Cheers!
@LonelyRocker
@LonelyRocker 3 сағат бұрын
16GB? That's so 2004!!!! I recommend at least 48GB for a machine where you are recording and mixing....
@spoonerluv
@spoonerluv 9 минут бұрын
You need every GB of it, devs are lazy af these days
@JohnnyMatthewsMusic
@JohnnyMatthewsMusic 7 сағат бұрын
I believe the base machine learning libraries that drive the model learning process are optimized for NVidia GPUs. My 5 year old RTX2070S does an advanced model in about 30 minutes.
@LonelyRocker
@LonelyRocker 6 сағат бұрын
It really seems so...what a difference!!! I can't believe how many hours I have wasted!!!
@Category5
@Category5 4 сағат бұрын
Apple makes Metal and OpenCL available to developers. It's that IK is utilizing CUDA, which is proprietary to nVidia GPUs. It's becoming more of a problem in the computer world because of AI, so expect to see some changes over time. Possibly a licensing of CUDA, or a shift toward open computer platforms. Same limitation would happen on a Windows machine with an AMD GPU. Basically the distinction here is nVidia accelleration, vs. not.
@LonelyRocker
@LonelyRocker 3 сағат бұрын
I'm understanding that more and more...I need to be careful going to deep into under the hood issues...but it's the performance that ultimately matters to me! :) Thanks for the insight there...
@KreativeDevices
@KreativeDevices 6 сағат бұрын
Straight 🔥
@ChristianMoses
@ChristianMoses 6 сағат бұрын
ToneX and NAM both train MUCH faster with a compatible NVidia GPU. My ToneX advanced captures went from >8 hours to about 30 minutes when I swapped out my AMD GPU for one of the slowest NVidia GPU cards on the HCL for ToneX.
@LonelyRocker
@LonelyRocker 6 сағат бұрын
Nvidia seems like the trick....but damn, that Mac needs to be better than that!! We;;, glad I have a great laptop now to handle the job!
@paulbradshawguitar
@paulbradshawguitar 7 сағат бұрын
interesting insight, i can imagine the disappointment in the mac considering the price/spec but there are certainly other things that it excels at maybe that will change in the future, as software gets more optimised, but i have a feeling it's going to remain with GPU optimisations in mind it'd be interesting to see how NAM training would compare on each system
@LonelyRocker
@LonelyRocker 6 сағат бұрын
It was quite the discovery. I got the Mac Studio when I REALLY needed it. And it's been a good machine but not as good as I thought it would have been. That's a lot of money for a computer. I haven't gotten into NAM yet...I should get on that....
@paulbradshawguitar
@paulbradshawguitar 5 сағат бұрын
@@LonelyRocker i can imagine for everything else it's rock solid, unfortunately there will be discrepancies between the two platforms, I've been on PC forever, for gaming it's a no brainer i guess, and for audio you need to invest more i feel in a good interface /drivers (RME are really good on PC) than an equivalent mac setup (their audio infrastructure just seems more structuraly efficient than asio depending on drivers)
@SonicDriveStudio
@SonicDriveStudio 7 сағат бұрын
Love Kreative Devices! Windows FTW! ;)
@LonelyRocker
@LonelyRocker 6 сағат бұрын
Great machine!! I have seen the light! ;-)
@davidfaustino4476
@davidfaustino4476 3 сағат бұрын
Hmmm my 4080 does it in the same time apparently. Its a shame they dont optimize the process to use more GPU resources but Im not complaining with an 18 minute advanced process
@LonelyRocker
@LonelyRocker Сағат бұрын
Glad that's working for you....
@nomad100hd
@nomad100hd 2 сағат бұрын
IK really did a disservice to consumers when opting to only use CUDA which requires an NVIDIA GPU. Apple make their GPU and Neural processors available to software developers. OpenCL is supported on AMD, Intel, Nvidia and Apple GPUs. At some point i can see Apple only supporting the Metal API. In the 3D modeling world CUDA seems to perform better than OpenCL. IDK about Metal. Thankfully my gaming PC has an Nvidia card I can use, while I use my M3 MBP for other things.
@LonelyRocker
@LonelyRocker Сағат бұрын
I'm sure there are reasons why they choose the dev paths they do....
@kagunmarx5914
@kagunmarx5914 3 сағат бұрын
I'll never go back to mac
@LonelyRocker
@LonelyRocker 3 сағат бұрын
That would be a day hell freezes over ;-)
@mikejackson7880
@mikejackson7880 3 сағат бұрын
Honestly, I can tell you from experience, anything other than a Kreative Devices computer is a waste of money... take it from a former mac user that owns 2 Kreative Devices Laptops and Displays.
@LonelyRocker
@LonelyRocker 3 сағат бұрын
I've learned that very quickly. Great company that really knows their customers and gives them what they actually need and VERY fair prices. Got to respect that 100%!
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