A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in part due to the expensive hardware it uses to service queries at speed. While Nvidia's chips and components are favored due to their performance, Apple is trying to make it easier for developers to use that hardware. Work is being carried out on Apple MLX, the company's open-source machine learning...