macOS Machine Learning in 2019

Every company is sucking up data scientists and machine learning engineers. You usually hear that serious machine learning needs a beefy computer and a high-end Nvidia graphics card. While that might have been true a few years ago, Apple has been stepping up its machine learning game quite a bit. Let's take a look at where machine learning is on macOS now and what we can expect soon. 2019 Started Strong More Cores, More Memory The new MacBook Pro's 6 cores and 32 GB of memory make on-device machine learning faster than ever. Depending on the problem you are trying to solve, you might not be using the GPU at all. Scikit-learn and some others only support the CPU, with no plans to add GPU support. eGPU Support If you are in the domain of neural networks or other tools that would benefit from GPU, macOS Mojave brought good news: It added support for external graphics cards (eGPUs). (Well, for some. macOS only supports AMD eGPUs. This won't let you use Nvidia's parallel computing platform CUDA.

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