“offloading”

Is it possible for MDM distributed apps to be offloaded? Is there any way to prevent an app to be exempt from offloading, if this option was enabled?

What I am Trying to DoI am trying to show filters on a camera feed by using a Metal view: MTKView. I am closely following the method of Apple's sample code - Enhancing Live Video by Leveraging TrueDepth Camera Data - linkWhat I Have So FarFollowing code works great (mainly interpreted from above-mentioned sample code) :class MetalObject: NSObject, MTKViewDelegate { private var metalBufferView : MTKView? private var metalDevice = MTLCreateSystemDefaultDevice() private var metalCommandQueue : MTLCommandQueue! private var ciContext : CIContext! private let colorSpace = CGColorSpaceCreateDeviceRGB() private var videoPixelBuffer : CVPixelBuffer? private let syncQueue = DispatchQueue(label: Preview View Sync Queue, qos: .userInitiated, attributes: [], autoreleaseFrequency: .workItem) private var textureWidth : Int = 0 private var textureHeight : Int = 0 private var textureMirroring = false private var sampler : MTLSamplerState! private var renderPipelineState : MTLRenderPipelineState! private var vertexCoordBuffer

I'm looking into utilizing a cloud Linux machine to create and train my machine learning drawing classifier model with Turi Create. If I use my MacBook Pro it'll take at least 55 hours, so I want to offload that work and speed it up dramatically allowing me to iterate on the model to get the best result. Now there's a lot of options for RAM, CPU, and GPU capabilities. What will Turi Create take advantage of? For example, if I run it on a machine with 96 CPU cores will it utilize them all and possibly speed it up to minutes rather than days, or would a better GPU be preferred? How much RAM would be good? I'll be training it to recognize 6500 classes with 20 images of each. Thanks!