Cop圜at is being used to save hours of time when improving roto, improving comps, doing rig and cleanup or beauty work. With Nuke 14 this was expanded with the addition of Cattery which expanded further the set of applications artists can deploy. Using the principle of providing ground truth example frames and matching source frames, Cop圜at can learn from a handful of frames how to convert images the way an artist intended and then infer with an Inference node that understanding or ‘learning’ to a whole clip. Released with Nuke 13, and expanded with 13.2, Copycat has been brilliant for allowing artists to harness the power of machine learning. Flame does have powerful machine learning, but the Foundry’s ML Cop圜at has been a game changer. While Autodesk Flame and Maya both run native Apple Silicon, Nuke only previously ran via CPU on Apple Silicon computers. Fan noise and desk space matter and the Mac Studio is virtually invisible compared to a big high-end gaming PC. This may seem trivial – unless you have actually worked on a real project with a bunch of other VFX artists in a common open floor plan. ![]() ![]() The argument used to be that you needed to tower config so one could add a graphics card, but that is not needed in the Studio – the in-build ‘graphics card’ is pretty much equivalent to a powerful high-end NVIDIA card – but you get this in the same form factor as the original small Mac Studio. We tested the Mac Studio with the M2 Ultra with 24 core CPU, 76 core GPU and 32-core Neural engine – with 192 GB of unified memory. If you are transcoding or ingesting vast amounts of material then you would benefit from the slots provided by the much larger Mac Pro – but in terms of VFX editing and applications such as ML, the Mac Studio is exactly the same as the Mac Pro. The new Apple Studio is virtually identical to the new Apple M2 Mac Pro. For example, VFX editing on 4K UHD feature films requires gigabytes of versions of shots able to be played and reviewed without delays or compression that typically happens with remote viewing. While remote cloud rendering or other applications can work well, for a set of applications the overhead of uploading material for cloud use is just not sensible. As most readers would also know – if there is one topic fxguide is on top of, – it is machine learning (ML), – so we are really pleased to say that with the next release of Nuke, the Foundry will be fully Apple Silicon native including PyTorch support for really impressive Cop圜at functionality.Ĭurrently, with so much happening on the cloud, it is easy to forget there are a set of major VFX applications that really benefit from the power on your desktop. ![]() Launched at WWDC, fxguide got to put the new Mac Studio (almost exclusively) through its paces in our Lab. The new M2 Mac Studio Let’s Start with the Studio M2 Ultra… And just to prove it – the Foundry’s Nuke (with machine learning / Cop圜at) now runs natively on M2 Silicon and flies on the Apple M2 Studio. Secondly, it is really suited to VFX machine learning. At the fxguide tech lab we have been lucky enough to have been using the new M2 Ultra Studio for a couple of weeks – and here’s why you, as a VFX professional care.įirstly, the Studio M2 Ultra is fast, really fast.
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