r/MachineLearning - [D] Swift for modern Machine Learning

I will go through all these issues. This claim is 100% false because anything you run has a backend in the fastest/one of the fastest languages. Also, just as an example because I write Keras mostly myself, here's how to add more GPUs in Keras. CPUs is a similarly complex operation. What even are the cases where you need to interface with your GPU/CPU in a way that is unsupported by the Tensorflow/Pytorch/Keras library but is absolutely critical for your ML project?